MétaCan
Menu
Back to cohort
Record W2962753481 · doi:10.7202/1061710ar

L’histoire de l’Association des archivistes du Québec (AAQ)

2019· article· fr· W2962753481 on OpenAlexvenueaboutno aff
Simon Fortin-Dupuis

Bibliographic record

VenueDocumentation et bibliothèques · 2019
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

L’Association des archivistes du Québec (AAQ), en tant que regroupement de professionnels, a fortement marqué la discipline archivistique au cours de ses 50 années d’existence. Cette influence a déjà été étudiée à l’aune de la perspective disciplinaire. En s’appuyant plutôt sur l’évolution de l’organisation interne de l’Association, on découvre des dynamiques sous-jacentes à l’évolution de la perception des professions de l’archivistique qui expliquent aussi des changements disciplinaires. Une attention particulière portée aux aléas financiers et aux changements à la distribution du pouvoir au sein de l’organisation montre les facteurs qui président à la hiérarchisation progressive du champ archivistique. Cette dynamique découle à la fois d’une quête d’efficience des membres et de l’administration de l’AAQ et d’un impératif de rentabilité imposé par le contexte social québécois. Au travers des aléas de ces 50 ans d’activité, on découvre une Association qui a toujours su s’adapter au changement, malgré les grands défis qu’il représente, et maintenir l’objectif défini à sa naissance : promouvoir et défendre les intérêts des archives, des archivistes et de l’archivistique. Ce nouvel éclairage jeté sur l’histoire de l’AAQ permet finalement de rappeler certaines conditions du maintien de la cohésion de l’Association des archivistes du Québec.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.073
Threshold uncertainty score0.528

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0140.008
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.067
GPT teacher head0.309
Teacher spread0.242 · 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
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueDocumentation et bibliothèquesSame topicCultural Insights and Digital ImpactsFrench-language works237,207