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Record W6946359867 · doi:10.34745/numerev_1760

Chercher l’humain dans l’institutionnel : étude des messages officiels publiés sur les sites web du gouvernement fédéral canadien

2019· article· fr· W6946359867 on OpenAlexaboutno aff

Bibliographic record

VenueNumeRev · 2019
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)PublicsPerformative utteranceWeb technology

Abstract

fetched live from OpenAlex

<strong>R&eacute;sum&eacute;&nbsp;: </strong>Cet article pr&eacute;sente une &eacute;tude th&eacute;matique de messages institutionnels publi&eacute;s sur les sites web officiels des minist&egrave;res et des agences f&eacute;d&eacute;rales au Canada. En adoptant une approche constitutive de la communication organisationnelle, elle s&rsquo;int&eacute;resse &agrave; la mani&egrave;re dont ces messages projettent une logique institutionnelle particuli&egrave;re port&eacute;e par des th&egrave;mes de r&eacute;f&eacute;rence qui donnent - ou non - de la visibilit&eacute; aux publics internes et externes. Cette &eacute;tude questionne ainsi l&rsquo;application du principe de connectivit&eacute; performative qui souhaite promouvoir une plus grande visibilit&eacute; et pr&eacute;sence des individus sur le web. Nos r&eacute;sultats montrent que les messages institutionnels projettent une logique composite port&eacute;e par des th&egrave;mes sociaux et macro-organisationnels, qui d&eacute;sincarne fortement les communications sur le web. Les messages ne parviennent pas &agrave; appliquer le principe de connectivit&eacute; performative exig&eacute; par les directives f&eacute;d&eacute;rales, ce qui remet en question la r&eacute;ussite de la refonte r&eacute;cente des sites web gouvernementaux.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.727
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0020.004
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.166
GPT teacher head0.274
Teacher spread0.108 · 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 designNot applicable
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

Citations0
Published2019
Admission routes1
Has abstractyes

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