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Record W3136595797 · doi:10.7202/1075633ar

L’archiviste en contexte de documentation de la pandémie de la COVID-19 : vers une mission sociale

2021· article· fr· W3136595797 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueDocumentation et bibliothèques · 2021
Typearticle
Languagefr
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical scienceCoronavirus disease 2019 (COVID-19)DocumentationArtMedicine

Abstract

fetched live from OpenAlex

Dans un contexte socioculturel où les institutions de mémoire s’emparent des technologies afin de réinventer leurs relations avec leurs usagers, les pratiques de l’archive s’orientent vers une voie plus participative et sociale. Plus encore, les bouleversements engendrés par la crise sanitaire actuelle liée à la COVID-19 amènent les institutions de mémoire à repenser leurs manières de remplir leur mission culturelle. Avec la déclaration de l’UNESCO pour la documentation de la pandémie, ces institutions ont opté pour plusieurs stratégies afin de démocratiser l’accès aux contenus culturels et impliquer davantage les citoyens dans la documentation collective de la crise. Dans ce contexte, les usagers acquièrent de nouveaux rôles en tant que producteurs et consommateurs de contenus culturels. Ainsi, l’archiviste est amené à se repositionner dans l’objectif de valoriser son rôle comme acteur social qui participe à la création d’un troisième lieu numérique, en aidant les usagers à socialiser et à partager leurs affects dans un climat de confiance et de collaboration.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.773
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0080.004
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.023
GPT teacher head0.328
Teacher spread0.305 · 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