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Record W2618334155

Quelle communication pour quel changement?: Les dessous du changement social

2009· book· fr· W2618334155 on OpenAlexaboutno aff
Christian Agbobli

Bibliographic record

Venuenot available
Typebook
Languagefr
FieldSocial Sciences
TopicDiverse multidisciplinary academic research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Comme le noud du changementInternet, blogues, Web 2.0, mondialisation, culture, immigration, identite. Autant de termes qui illustrent le changement tel que vecu par des milliards d'individus dans le monde. Est-on suffisamment outille pour y faire face ? Quels sont les enjeux cruciaux qui meritent d'etre souleves et analyses ? Quels sont les defis de la communication face au changement ? L'individu peut-il etre reduit a l'usage des technologies ou a la reception des medias ? Quelle place la recherche francophone en communication occupe-t-elle dans ce malstrom ? Les quelque vingt textes de cet ouvrage se penchent d'abord sur la place de la communication dans le changement social en developpant une posture theorique et critique. Ils abordent la question des changements technologiques que connait le monde et analysent la societe de l'information, le Web 2.0 et la collaboration comme autant de phenomenes symbolisant le changement social. Ils s'interessent a la dynamique mediatique du changement, et etudient l'evolution des cultures tout comme les representations des communautes culturelles dans les medias. Enfin, les auteurs questionnent le caractere distinct de la recherche francophone en communication en se penchant sur des regions aussi diversifiees que la France, le Quebec, les Antilles et d'autres.Par sa polyvalence, l'ouvrage s'adresse autant aux etudiants en communication qu'aux chercheurs qui desirent approfondir certains aspects de leur champ d'expertise.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.264
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.002
Scholarly communication0.0000.001
Open science0.0030.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.004

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 head0.135
GPT teacher head0.381
Teacher spread0.246 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2009
Admission routes1
Has abstractyes

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