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Record W1971797460 · doi:10.3166/ds.4.299-332

Campus numériques : des ambitions à l'épreuve des terrains

2006· article· fr· W1971797460 on OpenAlexaboutno aff
Élisabeth Fichez

Bibliographic record

VenueDistances et savoirs · 2006
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceGeology

Abstract

fetched live from OpenAlex

que de deux tudes canadiennes (l'une concernant une universit de l'Ontario, l'autre une formation en ligne de la Teluq). L'analyse est organise autour de deux points forts : le devenir des formes partenariales engages dans la figure impose du consortium et celui de l'acte culturel et social de formation. Concernant le premier point, il s'avre que l'ide du consortium comme nouvelle entit porteuse de modernit dans l'universit franaise se trouve malmene l'preuve quotidienne des terrains. Quant l'acte culturel et social de formation, il n'a pas t modifi de faon radicale dans la confrontation de nouveaux dispositifs, mais, l'vidence, la priode prsente est lourde de contradictions non rsolues. Les ralits canadiennes sont voques pour clairer la situation franaise d'un double point de vue.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.177
Threshold uncertainty score0.353

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.009
Science and technology studies0.0120.012
Scholarly communication0.0240.011
Open science0.0010.009
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0290.002

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 head0.243
GPT teacher head0.336
Teacher spread0.093 · 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 designQualitative
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

Citations9
Published2006
Admission routes1
Has abstractyes

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