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Record W4400482744 · doi:10.55016/ojs/cpai.v6i1.74652

Moral Universe

2023· article· en· W4400482744 on OpenAlexafffundabout
Michael Kaler, Christoph Richter, Chester Scoville, Steve Szigeti

Bibliographic record

VenueCanadian Perspectives on Academic Integrity · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicTheology and Philosophy of Evil
Canadian institutionsMaxxam (Canada)University of Toronto
FundersUniversity of Toronto
KeywordsPhysicsPhilosophy

Abstract

fetched live from OpenAlex

In this article, we present early results of surveys conducted at the University of Toronto, Mississauga campus, across four terms (January 2020 to December 2021) of early-year undergraduate students to determine their understanding and views of plagiarism. Our survey instrument gathered basic demographic information as well as asked participants to respond to 24 statements using a 5-point Likert scale. We share our analysis of responses to 15 statements in the survey which were intended to provide an understanding of the “moral universe” of students—that is, the way that they contextualize plagiarism in terms of their moral standards. Our major finding is that although students across three disciplines (Humanities, Social Science, and Science) recognized the potential harm of plagiarism to the value of their degrees, they also believed self-plagiarism to be less serious than other forms of academic integrity offences. We consider how the moral universe of students differs from the moral universe implied in the University’s codes and argue that the messaging used by academic institutions should convey the reasons for taking plagiarism seriously. We argue that presenting plagiarism as similar to theft of property rather than an issue of pedagogy might inadvertently encourage students to consider self-plagiarism to be more acceptable than other forms of plagiarism.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.829
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.004

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 head0.075
GPT teacher head0.272
Teacher spread0.197 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes3
Has abstractyes

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