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Record W6968531060 · doi:10.5281/zenodo.15215280

Une série de rapports techniques pour un laboratoire-studio de recherche-création médiatique

2024· report· fr· W6968531060 on OpenAlexaffabout

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typereport
Languagefr
FieldEnvironmental Science
TopicIchthyology and Marine Biology
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsIdentity (music)DerogationContext (archaeology)Term (time)Meaning (existential)

Abstract

fetched live from OpenAlex

Ce document explique les principes guidant la mise en place d’une série de rapports techniques pour un groupe de recherche sur la création médiatique au-delà de l’humain à la Faculté de Communication de l’Université du Québec à Montréal. Après une description du groupe de recherche et de l’environnement qui y est lié, le laboratoire-studio mXlab, un argumentaire est élaboré en faveur d’une série de rapports techniques rattachés à un tel environnement de recherche interdisciplinaire où se croisent création, technologie, collaboration et réflexion théorique. Finalement, quelques principes sont présentés afin de guider l’établissement de cette série de rapports techniques.

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)0.023
metaresearch head score (Gemma)0.012
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: Other · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0050.009
Scholarly communication0.0110.007
Open science0.0030.008
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0220.005

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 head0.082
GPT teacher head0.313
Teacher spread0.231 · 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
GenreOther

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
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicIchthyology and Marine Biology→French-language works237,207→