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Record W6993223679

Notre cheminement sur l’autoroute numérique

2020· article· fr· W6993223679 on OpenAlexaboutno aff

Bibliographic record

VenueÉrudit documents and data repository (Érudit Consortium, University of Montreal) · 2020
Typearticle
Languagefr
FieldMedicine
TopicArtificial Intelligence in Healthcare and Education
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)ExtraterritorialityLafora disease
DOInot available

Abstract

fetched live from OpenAlex

Pour des organismes bénévoles comme la Société historique du Canada (S.H.C.), Internet et ses technologies connexes offrent des possibilités à la fois formidables et redoutables. Même si la révolution numérique n’a pas entraîné des transformations aussi radicales qu’on le prédisait autrefois, il n’en demeure pas moins qu’elle a modifié les habitudes de la majorité des historiens universitaires. Nous commandons actuellement des livres en ligne, nous communiquons entre nous principalement par courriel et nous nous attendons de plus en plus à trouver des articles de revues dans le cyberespace. S’il n’en tient qu’à Google et à d’autres moteurs de recherche, nous pourrons bientôt, avec un simple clic, avoir accès aux bibliothèques du monde entier. Dans un tel milieu propice aux communications, la S.H.C. a la possibilité de rendre ses ressources intellectuelles, en particulier sa Revue et ses brochures, plus accessibles via Internet. Ce qui représente un défi, c’est de réaliser un tel projet sans ébranler les structures qui favorisent les activités courantes de la SHC, dont les finances sont toujours serrées.

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)0.007
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.028
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.004
Science and technology studies0.0030.014
Scholarly communication0.0140.025
Open science0.0030.005
Research integrity0.0050.010
Insufficient payload (model declined to judge)0.0310.013

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 head0.068
GPT teacher head0.305
Teacher spread0.236 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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