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Record W4214850383 · doi:10.1007/978-3-030-83255-1_8

Contract Cheating in Canada: A Comprehensive Overview

2022· book-chapter· en· W4214850383 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEthics and integrity in educational contexts · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAcademic integrity and plagiarism
Canadian institutionsUniversity of Calgary
FundersUniversity of Guelph
KeywordsCheatingCommonwealthAction (physics)LegislationPolitical scienceCertificationLawMillCall to actionCriminologyLaw and economicsBusinessSociologyPsychologySocial psychologyEngineeringMarketing

Abstract

fetched live from OpenAlex

Abstract In this chapter I present an overview of contract cheating in Canada over half a century, from 1970 to the early 2020s. I offer details about a failed attempt at legislation to make ghostwritten essays and exams illegal in Ontario in 1972. Then, I highlight a 1989 criminal case, noted as being the first of its kind in Canada, and possibly the Commonwealth, in which an essay mill owner and his wife were charged with fraud and conspiracy. The case was dismissed by the judge, leaving the contract cheating industry to flourish, which it has done. I synthesize the scant empirical data available for Canada and offer an educated estimate of the prevalence of contract cheating. Finally, I conclude with a call to action for educators, advocates, and policy makers. I conclude with a call to action for Canadians to take a stronger stance against contract cheating.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.832
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.019
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.113
GPT teacher head0.374
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it