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Record W1577619862 · doi:10.4000/edc.1661

L’émergence d’un nouveau genre communicationnel dans les organisations fortement connectées : les « questions rapides » par messagerie instantanée

2010· article· fr· W1577619862 on OpenAlexaffabout
Christian Licoppe, Serge Proulx, Renato Cudicio

Bibliographic record

VenueEtudes de communication/Études de communication · 2010
Typearticle
Languagefr
FieldPsychology
TopicTeam Dynamics and Performance
Canadian institutionsConcordia UniversityUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesSociologyPhilosophy

Abstract

fetched live from OpenAlex

Nous décrivons les comportements et les interactions que suscite l’introduction d’un dispositif de messagerie instantanée au sein de deux firmes canadiennes. Notre travail inductif nous permet de saisir l’émergence d’un nouveau genre communicationnel appelé « questions rapides ». Celles-ci constituent un véhicule privilégié pour réaffirmer des liens interpersonnels et de solidarité professionnelle dans un cadre de communication à distance. Le développement de ces formes de coopération fondées sur des « questions rapides » articule de manière originale travail prescrit et travail réel, accomplissement des objectifs et réseaux d’entraide. Il est au cœur de l’économie morale des organisations contemporaines fortement connectées.

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)0.006
metaresearch head score (Gemma)0.017
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0060.010
Scholarly communication0.0110.009
Open science0.0010.005
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0110.001

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 head0.031
GPT teacher head0.322
Teacher spread0.291 · 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

Citations5
Published2010
Admission routes2
Has abstractyes

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