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Record W1990995475 · doi:10.1684/ipe.2010.0688

Psychiatrie et Facebook : illustration de l'utilisation des sites sociaux au lendemain d'un trauma

2010· article· fr· W1990995475 on OpenAlex
Christophe F. Herbert, Alain Brunet

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueL information psychiatrique · 2010
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Media in Health Education
Canadian institutionsInstitut Universitaire en Santé Mentale de QuébecDouglas Mental Health University Institute
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophyArt

Abstract

fetched live from OpenAlex

L'Internet influence et modifie de nombreux aspects de la vie quotidienne. Il en est de meme pour ce qui est de la sante physique et mentale. La popularite croissante de sites tels que Facebook fait que les sites sociaux deviennent des plates-formes que les patients ainsi que les professionnels de sante mentale utilisent. Une illustration de ce phenomene est presentee en prenant l'exemple du trauma et en s'interrogeant sur les pratiques d'aujourd'hui et de demain : qu'en est-il de la qualite de l'information sur le trouble de stress post-traumatique disponible sur l'Internet et particulierement sur les sites sociaux ? Que penser de la proliferation des groupes de discussions sur les troubles de sante mentaux ? Qu'est-ce que le professionnel de sante mentale doit prendre en compte dans son utilisation des sites sociaux ? Comment ces sites Internet peuvent etre utilises a la suite d'une catastrophe majeure et enfin, est-ce que la pratique de la psychiatrie risque d'evoluer avec ce medium ?

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.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.005
Open science0.0000.000
Research integrity0.0010.001
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 head0.084
GPT teacher head0.379
Teacher spread0.295 · 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