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Perceptions of Canadian Dental Faculty and Students About Appropriate Penalties for Academic Dishonesty

2002· article· en· W2151000049 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Dental Education · 2002
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsAdjudicationJurisprudencePsychologyMedical educationGuidelineAcademic dishonestyMalpracticeCheatingMedicineSocial psychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

The purpose of this investigation was to a) compare the opinions of Canadian faculty and students as regards to what they felt was an appropriate penalty for particular academic offenses and b) to analyze the results and create a jurisprudence grid to serve as a guideline for appropriate disciplinary action. Two hundred questionnaires were distributed to the ten dental colleges in Canada. Each college was asked to have ten faculty and ten students complete the survey. A response rate of 100 percent was achieved for students and 92 percent for faculty. The questionnaire required respondents to select what they felt were appropriate penalties for a list of fifteen academic offenses and to render judgment on three specific cases. Statistical analysis of survey responses led to the following conclusions: 1) students gave equal or more lenient penalties than faculty for the same offense; 2) extenuating circumstances introduced via case presentations altered penalty choice only slightly; and 3) offenses could be grouped to correspond with appropriate penalties, thereby establishing a jurisprudence grid that may serve as a guideline for adjudication committees.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.088
GPT teacher head0.484
Teacher spread0.395 · 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