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Record W1463060241 · doi:10.4000/communiquer.520

La recherche d’information santé hors ligne et en ligne chez les 18-34 ans : une étude exploratoire

2013· article· fr· W1463060241 on OpenAlexaffabout
Monique Caron-Bouchard

Bibliographic record

VenueRevue internationale de communication sociale et publique · 2013
Typearticle
Languagefr
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Cet article présente une recherche exploratoire de type qualitatif effectuée auprès des 18-34 ans. Elle porte sur leur utilisation des réseaux sociaux hors ligne et en ligne lors de leurs quêtes d’information santé. Cette génération de jeunes adultes n’ayant pas connu une société où les technologies numériques ne font pas partie intégrante de la trame quotidienne délaissent-ils les paradigmes de recherche traditionnelle priorisant la famille, les amis et les professionnels de la santé dans un contexte interpersonnel en face à face ? L’analyse d’entrevues semi-dirigées menées auprès de 21 personnes (dont la majorité se considère en santé) de la grande région de Montréal a permis de relever les facteurs motivant la recherche d’information santé, la démarche informative, l’utilisation et la perception des réseaux sociaux ainsi que la trajectoire de recherche. L’étude des verbatims recueillis donne des indications sur l’utilité et la pertinence des diverses sources d’information santé tant hors ligne qu’en ligne. La participation active dans les relations interpersonnelles s’avère plus manifeste hors ligne qu’en ligne.

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)0.021
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.708
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.014
Open science0.0020.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.162
GPT teacher head0.466
Teacher spread0.304 · 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
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

Citations6
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueRevue internationale de communication sociale et publiqueSame topicHealth Literacy and Information AccessibilityFrench-language works237,207