The limits to cumulative causation: International migration from Mexican Urban Areas View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2004-02

AUTHORS

Elizabeth Fussell, Douglas S. Massey

ABSTRACT

We present theoretical arguments and empirical research to suggest that the principal mechanisms of cumulative causation do not function in large urban settings. Using data from the Mexican Migration Project, we found evidence of cumulative causation in small cities, rural towns and villages, but not in large urban areas. With event-history models, we found little positive effect of community-level social capital and a strong deterrent effect of urban labor markets on the likelihood of first and later U.S. trips for residents of urban areas in Mexico, suggesting that the social process of migration from urban areas is distinct from that in the more widely studied rural migrant-sending communities of Mexico. More... »

PAGES

151-171

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1353/dem.2004.0003

DOI

http://dx.doi.org/10.1353/dem.2004.0003

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1033823254

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/15074129


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1608", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Sociology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/16", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Studies in Human Society", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Causality", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Demography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Emigration and Immigration", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Empirical Research", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mexican Americans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mexico", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Statistical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Probability", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Rural Population", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Social Support", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Socioeconomic Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Surveys and Questionnaires", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "United States", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Urban Population", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Tulane University", 
          "id": "https://www.grid.ac/institutes/grid.265219.b", 
          "name": [
            "Sociology Department, Tulane University, 220 Newcomb Hall, 70118, New Orleans, LA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fussell", 
        "givenName": "Elizabeth", 
        "id": "sg:person.010313412375.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010313412375.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Princeton University", 
          "id": "https://www.grid.ac/institutes/grid.16750.35", 
          "name": [
            "Office of Population Research, Princeton University, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Massey", 
        "givenName": "Douglas S.", 
        "id": "sg:person.0702232466.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702232466.47"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1080/014198799329477", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000934625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1353/dem.2001.0013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005833014", 
          "https://doi.org/10.1353/dem.2001.0013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2307/2061490", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014182856", 
          "https://doi.org/10.2307/2061490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.17730/humo.40.1.c6148p5743512768", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022924393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.96.9.5328", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025596011"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0305-750x(90)90113-c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027851846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/004912417200100203", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029489512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/004912417200100203", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029489512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/217913", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058537411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/225993", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058545491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/228669", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058548167"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/228943", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058548441"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/230452", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058549950"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/230753", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058550251"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/231037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058550535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.237.4816.733", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062534545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1353/sof.2002.0009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065049515"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1353/sof.2004.0039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065049719"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1241697", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069408909"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2547388", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069983879"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2567043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069993204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2675944", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070054885"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3006176", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070167227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3644186", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075153083"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.24201/edu.v14i1.1038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075166479"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077438286", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2004-02", 
    "datePublishedReg": "2004-02-01", 
    "description": "We present theoretical arguments and empirical research to suggest that the principal mechanisms of cumulative causation do not function in large urban settings. Using data from the Mexican Migration Project, we found evidence of cumulative causation in small cities, rural towns and villages, but not in large urban areas. With event-history models, we found little positive effect of community-level social capital and a strong deterrent effect of urban labor markets on the likelihood of first and later U.S. trips for residents of urban areas in Mexico, suggesting that the social process of migration from urban areas is distinct from that in the more widely studied rural migrant-sending communities of Mexico.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1353/dem.2004.0003", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2525640", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1012733", 
        "issn": [
          "0070-3370", 
          "1533-7790"
        ], 
        "name": "Demography", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "41"
      }
    ], 
    "name": "The limits to cumulative causation: International migration from Mexican Urban Areas", 
    "pagination": "151-171", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a11f900e2211039a1ca91962a1a04f62e091b099eae6a6f5f894488bce1f8086"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "15074129"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0226703"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1353/dem.2004.0003"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1033823254"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1353/dem.2004.0003", 
      "https://app.dimensions.ai/details/publication/pub.1033823254"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:39", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8669_00000500.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1353/dem.2004.0003"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1353/dem.2004.0003'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1353/dem.2004.0003'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1353/dem.2004.0003'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1353/dem.2004.0003'


 

This table displays all metadata directly associated to this object as RDF triples.

217 TRIPLES      21 PREDICATES      69 URIs      36 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1353/dem.2004.0003 schema:about N1120b3ba5b654ec6bd7bdde7b5527c6f
2 N16166da9855c484e9cf23b2dc95ae812
3 N31c436b597e74067acbc2a1209d5c85e
4 N43d2ad37b5e04b32b8fb462d50e59db8
5 N54ea4ca23b194d3b82b6e4ec5cde3c0c
6 N7d4550a87cb14f4c8d97777cece8ef29
7 N80fc8779cd934b05a3362d7667e17408
8 N8285651b60fa40c4b00f8f1b350843a4
9 N836b93ace2fa4b25a3e3a611096307dc
10 N89b1289991844ba5a5a7f105b3a760b6
11 N8d58ef6bcf694ff8bf9d4bbe7f5ed298
12 N9d4440f0f58641e4ad3c3a7101b1dc9d
13 Na0eaa08663fc401cb18c7bcf008cf199
14 Na397531feef6471791f5d8c501b48da5
15 Ndb76467cf59f4cb9bfcbf9571bf0af1a
16 anzsrc-for:16
17 anzsrc-for:1608
18 schema:author Ndf157aff806947deb808bc839586fe79
19 schema:citation sg:pub.10.1353/dem.2001.0013
20 sg:pub.10.2307/2061490
21 https://app.dimensions.ai/details/publication/pub.1077438286
22 https://doi.org/10.1016/0305-750x(90)90113-c
23 https://doi.org/10.1073/pnas.96.9.5328
24 https://doi.org/10.1080/014198799329477
25 https://doi.org/10.1086/217913
26 https://doi.org/10.1086/225993
27 https://doi.org/10.1086/228669
28 https://doi.org/10.1086/228943
29 https://doi.org/10.1086/230452
30 https://doi.org/10.1086/230753
31 https://doi.org/10.1086/231037
32 https://doi.org/10.1126/science.237.4816.733
33 https://doi.org/10.1177/004912417200100203
34 https://doi.org/10.1353/sof.2002.0009
35 https://doi.org/10.1353/sof.2004.0039
36 https://doi.org/10.17730/humo.40.1.c6148p5743512768
37 https://doi.org/10.2307/1241697
38 https://doi.org/10.2307/2547388
39 https://doi.org/10.2307/2567043
40 https://doi.org/10.2307/2675944
41 https://doi.org/10.2307/3006176
42 https://doi.org/10.2307/3644186
43 https://doi.org/10.24201/edu.v14i1.1038
44 schema:datePublished 2004-02
45 schema:datePublishedReg 2004-02-01
46 schema:description We present theoretical arguments and empirical research to suggest that the principal mechanisms of cumulative causation do not function in large urban settings. Using data from the Mexican Migration Project, we found evidence of cumulative causation in small cities, rural towns and villages, but not in large urban areas. With event-history models, we found little positive effect of community-level social capital and a strong deterrent effect of urban labor markets on the likelihood of first and later U.S. trips for residents of urban areas in Mexico, suggesting that the social process of migration from urban areas is distinct from that in the more widely studied rural migrant-sending communities of Mexico.
47 schema:genre research_article
48 schema:inLanguage en
49 schema:isAccessibleForFree false
50 schema:isPartOf N08d2bbc3c70d479f981a50311a373b72
51 Ne291aa0c7b6c4925b9d81ff31e5a8eba
52 sg:journal.1012733
53 schema:name The limits to cumulative causation: International migration from Mexican Urban Areas
54 schema:pagination 151-171
55 schema:productId N0799c33a7b414259b3749469a92d0ba1
56 N8700b96adaf24210be9c75ab189c5cb2
57 N9bbaf4d127634b9f9afa0734b48e0ae0
58 Naa4d3bfcb52547af962263a6f487282a
59 Nae3fbdc48dff4171adc5d4b483293d8e
60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033823254
61 https://doi.org/10.1353/dem.2004.0003
62 schema:sdDatePublished 2019-04-10T16:39
63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
64 schema:sdPublisher N1bda4971bf3c4bd18cd9b67b8fd5e81e
65 schema:url http://link.springer.com/10.1353/dem.2004.0003
66 sgo:license sg:explorer/license/
67 sgo:sdDataset articles
68 rdf:type schema:ScholarlyArticle
69 N0799c33a7b414259b3749469a92d0ba1 schema:name nlm_unique_id
70 schema:value 0226703
71 rdf:type schema:PropertyValue
72 N08d2bbc3c70d479f981a50311a373b72 schema:issueNumber 1
73 rdf:type schema:PublicationIssue
74 N1120b3ba5b654ec6bd7bdde7b5527c6f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Humans
76 rdf:type schema:DefinedTerm
77 N16166da9855c484e9cf23b2dc95ae812 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Demography
79 rdf:type schema:DefinedTerm
80 N1bda4971bf3c4bd18cd9b67b8fd5e81e schema:name Springer Nature - SN SciGraph project
81 rdf:type schema:Organization
82 N31c436b597e74067acbc2a1209d5c85e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Empirical Research
84 rdf:type schema:DefinedTerm
85 N43d2ad37b5e04b32b8fb462d50e59db8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Models, Statistical
87 rdf:type schema:DefinedTerm
88 N54ea4ca23b194d3b82b6e4ec5cde3c0c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Causality
90 rdf:type schema:DefinedTerm
91 N7d4550a87cb14f4c8d97777cece8ef29 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Emigration and Immigration
93 rdf:type schema:DefinedTerm
94 N80fc8779cd934b05a3362d7667e17408 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Surveys and Questionnaires
96 rdf:type schema:DefinedTerm
97 N8285651b60fa40c4b00f8f1b350843a4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Mexico
99 rdf:type schema:DefinedTerm
100 N836b93ace2fa4b25a3e3a611096307dc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Probability
102 rdf:type schema:DefinedTerm
103 N8700b96adaf24210be9c75ab189c5cb2 schema:name doi
104 schema:value 10.1353/dem.2004.0003
105 rdf:type schema:PropertyValue
106 N89b1289991844ba5a5a7f105b3a760b6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Social Support
108 rdf:type schema:DefinedTerm
109 N8d58ef6bcf694ff8bf9d4bbe7f5ed298 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Mexican Americans
111 rdf:type schema:DefinedTerm
112 N9bbaf4d127634b9f9afa0734b48e0ae0 schema:name readcube_id
113 schema:value a11f900e2211039a1ca91962a1a04f62e091b099eae6a6f5f894488bce1f8086
114 rdf:type schema:PropertyValue
115 N9d4440f0f58641e4ad3c3a7101b1dc9d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Urban Population
117 rdf:type schema:DefinedTerm
118 Na0eaa08663fc401cb18c7bcf008cf199 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Socioeconomic Factors
120 rdf:type schema:DefinedTerm
121 Na397531feef6471791f5d8c501b48da5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name United States
123 rdf:type schema:DefinedTerm
124 Naa4d3bfcb52547af962263a6f487282a schema:name dimensions_id
125 schema:value pub.1033823254
126 rdf:type schema:PropertyValue
127 Nae3fbdc48dff4171adc5d4b483293d8e schema:name pubmed_id
128 schema:value 15074129
129 rdf:type schema:PropertyValue
130 Ndb76467cf59f4cb9bfcbf9571bf0af1a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Rural Population
132 rdf:type schema:DefinedTerm
133 Ndf157aff806947deb808bc839586fe79 rdf:first sg:person.010313412375.25
134 rdf:rest Nffad84e671db44e1b5457cfe9c911e61
135 Ne291aa0c7b6c4925b9d81ff31e5a8eba schema:volumeNumber 41
136 rdf:type schema:PublicationVolume
137 Nffad84e671db44e1b5457cfe9c911e61 rdf:first sg:person.0702232466.47
138 rdf:rest rdf:nil
139 anzsrc-for:16 schema:inDefinedTermSet anzsrc-for:
140 schema:name Studies in Human Society
141 rdf:type schema:DefinedTerm
142 anzsrc-for:1608 schema:inDefinedTermSet anzsrc-for:
143 schema:name Sociology
144 rdf:type schema:DefinedTerm
145 sg:grant.2525640 http://pending.schema.org/fundedItem sg:pub.10.1353/dem.2004.0003
146 rdf:type schema:MonetaryGrant
147 sg:journal.1012733 schema:issn 0070-3370
148 1533-7790
149 schema:name Demography
150 rdf:type schema:Periodical
151 sg:person.010313412375.25 schema:affiliation https://www.grid.ac/institutes/grid.265219.b
152 schema:familyName Fussell
153 schema:givenName Elizabeth
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010313412375.25
155 rdf:type schema:Person
156 sg:person.0702232466.47 schema:affiliation https://www.grid.ac/institutes/grid.16750.35
157 schema:familyName Massey
158 schema:givenName Douglas S.
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702232466.47
160 rdf:type schema:Person
161 sg:pub.10.1353/dem.2001.0013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005833014
162 https://doi.org/10.1353/dem.2001.0013
163 rdf:type schema:CreativeWork
164 sg:pub.10.2307/2061490 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014182856
165 https://doi.org/10.2307/2061490
166 rdf:type schema:CreativeWork
167 https://app.dimensions.ai/details/publication/pub.1077438286 schema:CreativeWork
168 https://doi.org/10.1016/0305-750x(90)90113-c schema:sameAs https://app.dimensions.ai/details/publication/pub.1027851846
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1073/pnas.96.9.5328 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025596011
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1080/014198799329477 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000934625
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1086/217913 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058537411
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1086/225993 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058545491
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1086/228669 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058548167
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1086/228943 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058548441
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1086/230452 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058549950
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1086/230753 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058550251
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1086/231037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058550535
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1126/science.237.4816.733 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062534545
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1177/004912417200100203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029489512
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1353/sof.2002.0009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065049515
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1353/sof.2004.0039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065049719
195 rdf:type schema:CreativeWork
196 https://doi.org/10.17730/humo.40.1.c6148p5743512768 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022924393
197 rdf:type schema:CreativeWork
198 https://doi.org/10.2307/1241697 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069408909
199 rdf:type schema:CreativeWork
200 https://doi.org/10.2307/2547388 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069983879
201 rdf:type schema:CreativeWork
202 https://doi.org/10.2307/2567043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069993204
203 rdf:type schema:CreativeWork
204 https://doi.org/10.2307/2675944 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070054885
205 rdf:type schema:CreativeWork
206 https://doi.org/10.2307/3006176 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070167227
207 rdf:type schema:CreativeWork
208 https://doi.org/10.2307/3644186 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075153083
209 rdf:type schema:CreativeWork
210 https://doi.org/10.24201/edu.v14i1.1038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075166479
211 rdf:type schema:CreativeWork
212 https://www.grid.ac/institutes/grid.16750.35 schema:alternateName Princeton University
213 schema:name Office of Population Research, Princeton University, USA
214 rdf:type schema:Organization
215 https://www.grid.ac/institutes/grid.265219.b schema:alternateName Tulane University
216 schema:name Sociology Department, Tulane University, 220 Newcomb Hall, 70118, New Orleans, LA
217 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...