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Record W7031089847

ABCMTL

2017· article· fr· W7031089847 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Regulation
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)MonsterCultural environment
DOInot available

Abstract

fetched live from OpenAlex

Découvrez Montréal et ses secrets à travers l'oeil du photographe Bruno Ricca et les mots de la poète Jeanne Painchaud. Au fil des pages, des haïkus animeront les images et le rythme de la vie de cette ville magnifique. Une visite qui vous fera voir cette métropole sous un nouveau jour. Le cadeau idéal, pour petits et grands, afin de célébrer le 375e anniversaire de Montréal. La rue Sainte-Catherine s'invite dans une double-page pour une petite chasse aux lettres, aux 26 lettres de l'alphabet. Une activité familiale qui vous permettra de traverser la ville d'ouest en est. La poète complète l'ouvrage avec de précieuses informations sur certains lieux et événements qui ont marqué la ville au fil des ans. (source electre)

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)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.279
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0030.001
Scholarly communication0.0100.003
Open science0.0020.003
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.7210.512

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 head0.317
GPT teacher head0.602
Teacher spread0.285 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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