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Record W2158351426 · doi:10.7202/1009261ar

Des grottes de Lascaux aux nuages de Google : le bouleversement des systèmes de l’écrit et son incidence sur le fonctionnement de nos institutions démocratiques

2012· article· fr· W2158351426 on OpenAlexaffvenue
Daniel J. Caron, Richard G. Brown

Bibliographic record

VenueTélescope Revue d’analyse comparée en administration publique · 2012
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsÉcole Nationale d'Administration PubliqueLibrary and Archives Canada
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophyArt

Abstract

fetched live from OpenAlex

En augmentant les capacités de stockage, la rapidité et la capacité de traitement de l’information, les changements opérés par la micro-informatique ont mené à des avancées dans la qualité du service aux citoyens. Les progrès plus récents ont toutefois des retombées imprévues : ils bouleversent non seulement les pratiques usuelles internes, mais remettent en question le système de l’écrit et ses conventions sur la base duquel nos bureaucraties se sont établies. Le document, instrument de première importance dans la conduite des affaires de l’État, a perdu peu à peu ses attributs et tarde à se redéfinir dans l’environnement numérique. Il en est de même pour les règles et les processus qui sont le fondement même de notre fonctionnement en organisation formelle. Cet article aborde les questions liées à l’effondrement des conventions du système de l’écrit et à la manière dont cela affecte le fonctionnement de nos institutions et requiert des innovations importantes et fondamentales si nous voulons assurer la pérennité de nos systèmes démocratiques.

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)0.013
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.662
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.004
Open science0.0010.000
Research integrity0.0010.002
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 head0.164
GPT teacher head0.450
Teacher spread0.286 · 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

Citations1
Published2012
Admission routes2
Has abstractyes

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