MétaCan
Menu
Back to cohort
Record W4400482657 · doi:10.55016/ojs/cpai.v3i1.69763

Creating a Collaborative Network to Promote Cultures of Academic Integrity in Manitoba’s Post-Secondary Institutions

2020· article· en· W4400482657 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

VenueCanadian Perspectives on Academic Integrity · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Issues in Education
Canadian institutionsThompson Rivers UniversityBooth University CollegeRed River CollegeAssiniboine Community CollegeUniversity of Manitoba
Fundersnot available
KeywordsAcademic integrityResearch integritySociologyPublic relationsBusinessPolitical scienceLibrary scienceComputer science

Abstract

fetched live from OpenAlex

In this article, we, as representatives from several post-secondary institutions across Manitoba and British Columbia, describe how sharing knowledge and experiences across institutions has informed and enhanced academic integrity initiatives at our respective institutions. We outline how participation in provincial, national, and international teaching and learning events as a collective has informed our work in academic integrity and led to the emergence of the Manitoba Academic Integrity Network (MAIN) in May 2019. We discuss the benefits of collaborating within a provincial network and next steps for expanding the reach of the network across institutions by engaging faculty, staff, and students.

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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.333
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.007
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 head0.045
GPT teacher head0.371
Teacher spread0.326 · 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