Making Decisions on Management of Plagiarism Cases Where There Is a Deliberate Attempt to Cheat View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2016

AUTHORS

Jude Carroll

ABSTRACT

This chapter provides a framework for markers who suspect that work they are assessing contains deliberately plagiarised passages. Five guiding questions are provided to assist the marker move from the point of suspicion through to deciding on and imposing appropriate penalties. Answers to the five questions are usually complex and often contested. The principles of fairness and defensibility are central to decisions regarding breaches of academic regulations and those principles shape the framework proposed for making decisions about deliberate plagiarism. Fishman’s (2009) definition of plagiarism is used to help determine whether plagiarism exists in the submitted work. The second question revolves around the marker’s decision about intent: was the plagiarism deliberate? Finding that an attempt to gain unearned academic credit has been made leads to the third question which is around the severity of the cheating. This third section outlines criteria that should be used when assessing severity of a breach and stresses the importance of local or institutional agreement on the criteria and the need for them to be explicitly stated in policy documents. Having decided the extent of the breach, the fourth step is to decide an appropriate penalty. A tariff system is proposed that provides a framework for matching defined levels of seriousness with a small number of pre-determined penalties. The fifth and final question revolves around ensuring that decisions are fair, defensible and sustainable and presents five significant factors that should be considered when establishing a framework to deal with deliberate attempts to breach academic regulations. More... »

PAGES

199-219

Book

TITLE

Handbook of Academic Integrity

ISBN

978-981-287-097-1
978-981-287-098-8

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-981-287-098-8_54

DOI

http://dx.doi.org/10.1007/978-981-287-098-8_54

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042614774


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/2008/1801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Law", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/18", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Law and Legal Studies", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Oxford Brookes University", 
          "id": "https://www.grid.ac/institutes/grid.7628.b", 
          "name": [
            "Independent Educational Development Consultant, Formerly at Oxford Brookes University"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Carroll", 
        "givenName": "Jude", 
        "id": "sg:person.011533307460.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011533307460.96"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1080/0260293042000264226", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003586902"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jeap.2012.11.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005470028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jebo.2014.12.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008214972"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jebo.2014.12.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008214972"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/0309877042000241760", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008351131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/0309877042000298911", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015617563"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4324/9781410604279", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019183074"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/03075079.2013.777406", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019963106"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/02602930600679415", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021444999"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/0729436980170105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022846113"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/02602930802075115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028824430"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/02602930301677", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037763713"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/13562517.2010.491907", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043422938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/03057920903115983", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045168057"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/13600800903440519", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045619861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/13538320701629202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045652973"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10805-012-9153-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046936772", 
          "https://doi.org/10.1007/s10805-012-9153-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10755-014-9285-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051545993", 
          "https://doi.org/10.1007/s10755-014-9285-4"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016", 
    "datePublishedReg": "2016-01-01", 
    "description": "This chapter provides a framework for markers who suspect that work they are assessing contains deliberately plagiarised passages. Five guiding questions are provided to assist the marker move from the point of suspicion through to deciding on and imposing appropriate penalties. Answers to the five questions are usually complex and often contested. The principles of fairness and defensibility are central to decisions regarding breaches of academic regulations and those principles shape the framework proposed for making decisions about deliberate plagiarism. Fishman\u2019s (2009) definition of plagiarism is used to help determine whether plagiarism exists in the submitted work. The second question revolves around the marker\u2019s decision about intent: was the plagiarism deliberate? Finding that an attempt to gain unearned academic credit has been made leads to the third question which is around the severity of the cheating. This third section outlines criteria that should be used when assessing severity of a breach and stresses the importance of local or institutional agreement on the criteria and the need for them to be explicitly stated in policy documents. Having decided the extent of the breach, the fourth step is to decide an appropriate penalty. A tariff system is proposed that provides a framework for matching defined levels of seriousness with a small number of pre-determined penalties. The fifth and final question revolves around ensuring that decisions are fair, defensible and sustainable and presents five significant factors that should be considered when establishing a framework to deal with deliberate attempts to breach academic regulations.", 
    "editor": [
      {
        "familyName": "Bretag", 
        "givenName": "Tracey", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-981-287-098-8_54", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-981-287-097-1", 
        "978-981-287-098-8"
      ], 
      "name": "Handbook of Academic Integrity", 
      "type": "Book"
    }, 
    "name": "Making Decisions on Management of Plagiarism Cases Where There Is a Deliberate Attempt to Cheat", 
    "pagination": "199-219", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-981-287-098-8_54"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "cafe09d2a29a43fd88bbb0431227e56899e1d5c347bcb6255b102d3b1769d6e8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1042614774"
        ]
      }
    ], 
    "publisher": {
      "location": "Singapore", 
      "name": "Springer Singapore", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-981-287-098-8_54", 
      "https://app.dimensions.ai/details/publication/pub.1042614774"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T22:00", 
    "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_8693_00000269.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-981-287-098-8_54"
  }
]
 

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.10.1007/978-981-287-098-8_54'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-981-287-098-8_54'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-981-287-098-8_54'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-981-287-098-8_54'


 

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

118 TRIPLES      23 PREDICATES      44 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-981-287-098-8_54 schema:about anzsrc-for:18
2 anzsrc-for:1801
3 schema:author N1d3c6680054349ba9f4dae404e140b69
4 schema:citation sg:pub.10.1007/s10755-014-9285-4
5 sg:pub.10.1007/s10805-012-9153-8
6 https://doi.org/10.1016/j.jeap.2012.11.008
7 https://doi.org/10.1016/j.jebo.2014.12.019
8 https://doi.org/10.1080/02602930301677
9 https://doi.org/10.1080/0260293042000264226
10 https://doi.org/10.1080/02602930600679415
11 https://doi.org/10.1080/02602930802075115
12 https://doi.org/10.1080/03057920903115983
13 https://doi.org/10.1080/03075079.2013.777406
14 https://doi.org/10.1080/0309877042000241760
15 https://doi.org/10.1080/0309877042000298911
16 https://doi.org/10.1080/0729436980170105
17 https://doi.org/10.1080/13538320701629202
18 https://doi.org/10.1080/13562517.2010.491907
19 https://doi.org/10.1080/13600800903440519
20 https://doi.org/10.4324/9781410604279
21 schema:datePublished 2016
22 schema:datePublishedReg 2016-01-01
23 schema:description This chapter provides a framework for markers who suspect that work they are assessing contains deliberately plagiarised passages. Five guiding questions are provided to assist the marker move from the point of suspicion through to deciding on and imposing appropriate penalties. Answers to the five questions are usually complex and often contested. The principles of fairness and defensibility are central to decisions regarding breaches of academic regulations and those principles shape the framework proposed for making decisions about deliberate plagiarism. Fishman’s (2009) definition of plagiarism is used to help determine whether plagiarism exists in the submitted work. The second question revolves around the marker’s decision about intent: was the plagiarism deliberate? Finding that an attempt to gain unearned academic credit has been made leads to the third question which is around the severity of the cheating. This third section outlines criteria that should be used when assessing severity of a breach and stresses the importance of local or institutional agreement on the criteria and the need for them to be explicitly stated in policy documents. Having decided the extent of the breach, the fourth step is to decide an appropriate penalty. A tariff system is proposed that provides a framework for matching defined levels of seriousness with a small number of pre-determined penalties. The fifth and final question revolves around ensuring that decisions are fair, defensible and sustainable and presents five significant factors that should be considered when establishing a framework to deal with deliberate attempts to breach academic regulations.
24 schema:editor N90b48e0de3bf442d814ba233ab6a745e
25 schema:genre chapter
26 schema:inLanguage en
27 schema:isAccessibleForFree false
28 schema:isPartOf Ne03a5824743449c7afc8a260ff712053
29 schema:name Making Decisions on Management of Plagiarism Cases Where There Is a Deliberate Attempt to Cheat
30 schema:pagination 199-219
31 schema:productId N0bc5ed50184d477498f6baeb7e5a458e
32 N94c8fc3500b7411da02e46cdf0640e56
33 Nce57e908a0d147278705a7bfc3a27aac
34 schema:publisher N5c0875f689df4a65ada7679a97c0994b
35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042614774
36 https://doi.org/10.1007/978-981-287-098-8_54
37 schema:sdDatePublished 2019-04-15T22:00
38 schema:sdLicense https://scigraph.springernature.com/explorer/license/
39 schema:sdPublisher N92ff2f9444fa4ff7aabc8f65e3aef127
40 schema:url http://link.springer.com/10.1007/978-981-287-098-8_54
41 sgo:license sg:explorer/license/
42 sgo:sdDataset chapters
43 rdf:type schema:Chapter
44 N0bc5ed50184d477498f6baeb7e5a458e schema:name dimensions_id
45 schema:value pub.1042614774
46 rdf:type schema:PropertyValue
47 N1d3c6680054349ba9f4dae404e140b69 rdf:first sg:person.011533307460.96
48 rdf:rest rdf:nil
49 N41b14c9af2d3424d92333cf1c6878d0b schema:familyName Bretag
50 schema:givenName Tracey
51 rdf:type schema:Person
52 N5c0875f689df4a65ada7679a97c0994b schema:location Singapore
53 schema:name Springer Singapore
54 rdf:type schema:Organisation
55 N90b48e0de3bf442d814ba233ab6a745e rdf:first N41b14c9af2d3424d92333cf1c6878d0b
56 rdf:rest rdf:nil
57 N92ff2f9444fa4ff7aabc8f65e3aef127 schema:name Springer Nature - SN SciGraph project
58 rdf:type schema:Organization
59 N94c8fc3500b7411da02e46cdf0640e56 schema:name readcube_id
60 schema:value cafe09d2a29a43fd88bbb0431227e56899e1d5c347bcb6255b102d3b1769d6e8
61 rdf:type schema:PropertyValue
62 Nce57e908a0d147278705a7bfc3a27aac schema:name doi
63 schema:value 10.1007/978-981-287-098-8_54
64 rdf:type schema:PropertyValue
65 Ne03a5824743449c7afc8a260ff712053 schema:isbn 978-981-287-097-1
66 978-981-287-098-8
67 schema:name Handbook of Academic Integrity
68 rdf:type schema:Book
69 anzsrc-for:18 schema:inDefinedTermSet anzsrc-for:
70 schema:name Law and Legal Studies
71 rdf:type schema:DefinedTerm
72 anzsrc-for:1801 schema:inDefinedTermSet anzsrc-for:
73 schema:name Law
74 rdf:type schema:DefinedTerm
75 sg:person.011533307460.96 schema:affiliation https://www.grid.ac/institutes/grid.7628.b
76 schema:familyName Carroll
77 schema:givenName Jude
78 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011533307460.96
79 rdf:type schema:Person
80 sg:pub.10.1007/s10755-014-9285-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051545993
81 https://doi.org/10.1007/s10755-014-9285-4
82 rdf:type schema:CreativeWork
83 sg:pub.10.1007/s10805-012-9153-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046936772
84 https://doi.org/10.1007/s10805-012-9153-8
85 rdf:type schema:CreativeWork
86 https://doi.org/10.1016/j.jeap.2012.11.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005470028
87 rdf:type schema:CreativeWork
88 https://doi.org/10.1016/j.jebo.2014.12.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008214972
89 rdf:type schema:CreativeWork
90 https://doi.org/10.1080/02602930301677 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037763713
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1080/0260293042000264226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003586902
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1080/02602930600679415 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021444999
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1080/02602930802075115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028824430
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1080/03057920903115983 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045168057
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1080/03075079.2013.777406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019963106
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1080/0309877042000241760 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008351131
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1080/0309877042000298911 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015617563
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1080/0729436980170105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022846113
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1080/13538320701629202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045652973
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1080/13562517.2010.491907 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043422938
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1080/13600800903440519 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045619861
113 rdf:type schema:CreativeWork
114 https://doi.org/10.4324/9781410604279 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019183074
115 rdf:type schema:CreativeWork
116 https://www.grid.ac/institutes/grid.7628.b schema:alternateName Oxford Brookes University
117 schema:name Independent Educational Development Consultant, Formerly at Oxford Brookes University
118 rdf:type schema:Organization
 




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


...