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Record W2169789561 · doi:10.4000/communiquer.1701

Pour une communication organisationnelle affective : une perspective préindividuelle de l’action et de la constitution des organisations

2015· article· fr· W2169789561 on OpenAlexvenueaboutno aff
Nicolas Bencherki

Bibliographic record

VenueCommuniquer Revue de communication sociale et publique · 2015
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndividuationHumanitiesConstitutionPhilosophyAction (physics)Perspective (graphical)PsychologyPsychoanalysisPolitical scienceArtLaw

Abstract

fetched live from OpenAlex

Ce texte propose que l’adoption d’une version particulière des théories dites « de l’affect », encore peu populaires en communication organisationnelle, permet de surmonter le dilemme de l’action organisationnelle – est-ce l’individu qui agit ou l’organisation ? – non pas en le résolvant mais en permettant une compréhension totalement différente de la constitution et de l’action des collectifs. En partant du préindividuel – terme développé par le philosophe français Gilbert Simondon – plutôt que de l’individu, il est possible d’étudier les manières concrètes qu’ont les entités de capturer mutuellement leurs actions pour investir un processus d’individuation. La communication est alors comprise comme propagation de l’action ; la signification, quant à elle, dépend de la participation de l’action à un processus d’individuation particulier. La perspective préindividuelle sera illustrée par l’analyse de certains segments du documentaire Les épouses de l’armée réalisé par Claire Corriveau (2007), où celle-ci rend compte de la relation tortueuse entre les épouses de militaires canadiens et l’armée.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0060.030
Scholarly communication0.0130.012
Open science0.0020.004
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0110.002

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 head0.061
GPT teacher head0.329
Teacher spread0.268 · 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 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

Citations9
Published2015
Admission routes2
Has abstractyes

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