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Record W1575509464 · doi:10.21913/ijei.v8i1.782

How do faculty members respond to their students' discussions of academic misconduct and academic integrity?

2012· article· en· W1575509464 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.

Bibliographic record

VenueInternational Journal for Educational Integrity · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicAcademic integrity and plagiarism
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsAcademic integrityMisconductPresentation (obstetrics)PsychologyContext (archaeology)Medical educationAcademic institutionQualitative researchPerceptionPedagogySocial psychologyMedicineSociologyPolitical science

Abstract

fetched live from OpenAlex

The present study conducted a qualitative analysis of faculty members? perceptions, beliefs and instructional concerns regarding academic integrity in their classrooms following their observation of their students engaged in a 45-minute interactive presentation on academic integrity. Overall, seven overarching themes and a series of sub-themes were identified including the following: comfort level and knowledge about academic integrity issues (for faculty and for students), impressions about the interactive presentation, student engagement in the presentations, learning outcomes for faculty, safeguards against misconduct, and issues, consequences and proposed solutions to concerns. Key findings within these themes suggest that faculty members perceived themselves to be confident in their own understanding of what constitutes academic integrity; however, there were inconsistencies regarding whether their students had the requisite knowledge to make appropriate decisions. Faculty members were surprised by the frank and engaged interactions of their students during the interactive presentations. Only half of the faculty found the presentation content enhanced their own current knowledge. Faculty identified several methods they use to safeguard against academic misconduct, and identified the importance of both faculty and the institution providing a consistent and clear model to promote academic integrity in students. Discussion explores insights gained as a context for informing instructional practice.

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)0.006
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.632
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0020.000
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0000.000

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 head0.121
GPT teacher head0.475
Teacher spread0.354 · 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