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Record W7118583955 · doi:10.4000/15gp4

Décoloniser et contextualiser les instruments de recherche en archives : représentativité, regards des communautés et notion de co-création

2025· article· fr· W7118583955 on OpenAlexaboutno aff
Joana Casenave, Aminata Kane

Bibliographic record

VenueCommunication technologies et développement · 2025
Typearticle
Languagefr
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipContext (archaeology)Economic JusticeIndigenousField (mathematics)

Abstract

fetched live from OpenAlex

Cette étude interroge la décolonisation et la contextualisation des instruments de recherche archivistiques à travers les notions de représentativité et d’éthique. Elle montre que les pratiques archivistiques, façonnées par des cadres souvent hégémoniques et des rapports de pouvoir, nécessitent une réforme intégrant les épistémologies du Sud. S’appuyant sur les exemples nord-américains des archives liées aux peuples autochtones (particulièrement autour du processus de réconciliation au Canada et des Protocols for Native American Archival Materials), cet article souligne la nécessité d’intégrer une pluralité de discours et une prise en compte des émotions liées au patrimoine dans la production, la description et la médiation des archives. Il plaide pour des réflexions communes entre producteurs, archivistes et communautés afin de dépasser les biais structurels, linguistiques et culturels. Il invite enfin à repenser le rôle de l’archiviste comme médiateur social et culturel, garant d’un dialogue équitable entre institutions et communautés, pour une archivistique inclusive et soucieuse d’une justice cognitive.

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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.825
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.224
GPT teacher head0.427
Teacher spread0.203 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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