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Record W2044491003 · doi:10.7202/1035442ar

Les mémoires de maîtrise en service social à l’Université d’Ottawa et à l’Université Laurentienne

2015· article· fr· W2044491003 on OpenAlexaffvenueabout
Rocheny Alexandre, Isabelle Bédard, Myriam Bélanger, Théodore Bisserbe, Stéphanie Bogue Kerr, Chantal Boudreau, Nathalie Carrière, Olivia Doré, Elyse Gagnon, Olivier Grimard, Barbara Hiom Beboua, Amina Hussein, Audrey Ann Lapointe, Tanya Lapointe-Harris, Claudelle Marcheterre, Angélique Ndorimana, Despina Pelekos, Thomas Peter, Brejnev Racine, José Rodrigue, Gabrielle Ross-Marquette, Mélissa Roy, Chantal Roy-Power, Sophie Séguin, Erica Siddall, Julienne Trahan-Perreault

Bibliographic record

VenueReflets Revue d’intervention sociale et communautaire · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsLaurentian UniversityUniversity of Ottawa
Fundersnot available
KeywordsPolitical scienceSociology

Abstract

fetched live from OpenAlex

Ce document est protégé par la loi sur le droit d'auteur.L'utilisation des services d'Érudit (y compris la reproduction) est assujettie à sa politique d'utilisation que vous pouvez consulter en ligne.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.045
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.996
Threshold uncertainty score0.812

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.045
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0090.004
Scholarly communication0.0080.005
Open science0.0020.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0150.001

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 head0.062
GPT teacher head0.348
Teacher spread0.286 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
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
Published2015
Admission routes3
Has abstractno

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