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Record W7000313359

Est-ce que le numérique nous transforme:TV5 Monde, Grand angle

2019· other· fr· W7000313359 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSPIRE (Sciences Po) · 2019
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Auteur theoryNous
DOInot available

Abstract

fetched live from OpenAlex

C'est un fait, nous sommes passés dans l'ère du numérique. Voilà qui transforme la société, mais voilà qui nous transforme nous aussi. Nous sommes de plus en plus impatients, de plus en plus sollicités aussi. Il faut être percutant, réactif. Est-ce que nous perdons le sens des réalités ou est-ce que le numérique nous permet d'imaginer autrement ? On en parle avec le sociologue Dominique Boullier, auteur de « Sociologie du numérique » (éditions Armand Colin) et l'artiste franco-canadien Grégory Chatonsky. \nInvités : Dominique Boullier, sociologue français, auteur de « Sociologie du numérique » ; Grégory Chatonsky, artiste franco-canadien.\nPrésentation : Mohamed Kaci.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.643
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0010.004
Scholarly communication0.0010.001
Open science0.0030.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.055

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 head0.014
GPT teacher head0.250
Teacher spread0.236 · 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

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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