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Record W4214620809 · doi:10.52358/mm.vi9.250

Polyfolio : un outil numérique pour le suivi, l’évaluation et la présentation des compétences de l’ingénieur en formation à Polytechnique Montréal

2022· article· fr· W4214620809 on OpenAlexaffvenueabout
Anastassis Kozanitis, Patrice Farand, Yves Boudreault

Bibliographic record

VenueMédiations et médiatisations · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicHigher Education Learning Practices
Canadian institutionsPolytechnique MontréalUniversité du Québec à Montréal
Fundersnot available
KeywordsValuation (finance)HumanitiesPortfolioSociologyArtEconomics

Abstract

fetched live from OpenAlex

Polytechnique Montréal s’est doté d’un portfolio numérique pour faire le suivi et l’évaluation des 12 compétences requises par le Bureau canadien d’agrément des programmes de génie. Cet article présente le contexte ayant mené à la mise en place de l’outil, nommé Polyfolio, ses principales fonctionnalités, ainsi que son processus de conception.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.526
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.000
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.362
Teacher spread0.324 · 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; a candidate call from one teacher head, not a consensus.

Study designQualitative
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
Published2022
Admission routes3
Has abstractyes

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