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Record W3210745538 · doi:10.7202/1080959ar

Faire résonner les récits de vie : la plateforme numérique « Archives vivantes »

2021· article· fr· W3210745538 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueIntermédialités Histoire et théorie des arts des lettres et des techniques · 2021
Typearticle
Languagefr
FieldArts and Humanities
TopicOral History, Memory, Narrative Analysis
Canadian institutionsConcordia University
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Le Centre d’histoire orale et de récits numérisés (CHORN–COHDS) de l’Université Concordia, à Montréal, en collaboration avec l’Association des parents et amis des victimes du génocide contre les Tutsis du Rwanda (PAGE-Rwanda), représentant les survivants du génocide de 1994 vivant désormais à Montréal, ont décidé en 2016 de créer une plateforme numérique pour partager et explorer 28 interviews (vidéos) de survivants. Ce projet de recherche et de création en histoire orale et en humanités numériques a été une occasion non seulement de renouveler la recherche collaborative en histoire orale, mais également de développer de nouvelles façons d’écouter, d’analyser et de transmettre les récits de vie.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.849
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0030.011
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.030
GPT teacher head0.281
Teacher spread0.251 · 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