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Record W4400482760 · doi:10.55016/ojs/cpai.v5i1.74195

Make it someone’s job: Documenting the growth of the academic integrity profession through a collection of position postings

2022· article· en· W4400482760 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 · 2022
Typearticle
Languageen
FieldMedicine
TopicRadiology practices and education
Canadian institutionsUniversity of CalgaryRed River College
Fundersnot available
KeywordsAcademic integrityPosition (finance)Scientific integrityData collectionPsychologyPublic relationsInternet privacyPolitical scienceComputer scienceBusinessSociologyEngineering ethicsSocial psychologyEngineeringSocial science

Abstract

fetched live from OpenAlex

We examine specific roles in higher education specializing in academic integrity. We collected publicly advertised job postings from 2018 to 2021 (N = 34) from Canada (n = 18), the United States (n = 14), and Australia (n = 2). Our review showed that academic integrity jobs can be situated within different units including student affairs, the library, or the teaching and learning centre among others. Salaries ranged from $49,000 CAD to over $100,000 CAD, with salaries in senior leadership positions generally not being listed in public postings. We conclude for academic integrity work to be recognized through dedicated positions and compensated in a manner that demonstrates the work is valued by the institution. We further call for increased professional learning and training opportunities for those whose work is specialized around academic integrity.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.153
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.010
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 head0.035
GPT teacher head0.343
Teacher spread0.309 · 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