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Record W2739212554 · doi:10.7202/1040378ar

La mémoire utile, fond et forme au menu des années 2000

2017· article· fr· W2739212554 on OpenAlexaffvenueabout
Claude Minotto

Bibliographic record

VenueArchives · 2017
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

À l’occasion du 50e anniversaire de la Division de la gestion de documents et des archives de l’Université de Montréal, Claude Minotto, son ancien directeur nous livre ses réflexions. Il nous présente d’abord un bref plaidoyer en faveur de la diversité, car à ses yeux, une fois les conditions de préservation assurées, l’important est l’utilité de ce qui est conservé. Il utilise l’expression qui sert d’entête au site Internet de la DGDA comme préambule à la présentation de divers défis qu’ont amené les changements technologiques de la première décennie des années 2000 à la discipline archivistique. Monsieur Minotto partage ensuite quelques anecdotes issues de ses années en tant que directeur de la DGDA afin d’illustrer l’importance des relations de cette dernière avec les autres entités de l’Université de Montréal. Il termine en soulignant différentes réalisations de l’équipe de la DGDA au cours de sa direction et confirme, en conclusion, la nécessité de préserver « la mémoire utile » et ce, peu importe le support et les évolutions technologiques.

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)0.003
metaresearch head score (Gemma)0.009
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: Empirical · Consensus signal: none
Teacher disagreement score0.491
Threshold uncertainty score0.977

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0110.007
Scholarly communication0.0090.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0280.002

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 head0.314
GPT teacher head0.359
Teacher spread0.045 · 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
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
Published2017
Admission routes3
Has abstractyes

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