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Record W1927640110 · doi:10.7202/1032392ar

Le Web 2.0 pour soutenir le réseautage en santé mentale au Québec

2015· article· fr· W1927640110 on OpenAlexaffvenueabout
Dominique Michaud, Catherine Briand, Véronique Thibault, Karine Charbonneau

Bibliographic record

VenueSanté mentale au Québec · 2015
Typearticle
Languagefr
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversité de MontréalInstitut universitaire en santé mentale de MontréalInstitut Universitaire en Santé Mentale de Québec
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

OBJECTIVES: To support knowledge application of evidence-based practices in mental health rehabilitation in Quebec, the Centre for Studies on Rehabilitation, Recovery and Social Inclusion (CÉRRIS--www.cerrisweb.com) has set up a community of practice and has organized online activities. In this article, the authors present the community of practice (457 members to date) and the results of a three-year experience aimed at evaluating their appreciation with two online activities of dissemination and knowledge exchange: Web conference and debate blog. METHODS: The methodology used in this publication is part of a process of program evaluation. More specifically, a research mixed method was used (concurrent triangulation design). Qualitative data (from qualitative questionnaires) and quantitative data (from Google analytics -participation and attendance data) were collected in parallel and incorporated into analysis step. Forty qualitative questionnaires were completed to identify the benefits, barriers, challenges and facilitators encountered during their participation in the activity. The participants are members of the community of practice of the CÉRRIS and are people with mental illness, family members, practitioners, researchers, students, managers and policy makers in the field of mental health rehabilitation and come from different regions of Quebec, Canada and French speaking areas of Europe. Quantitative data on participation and attendance were collected and analyzed throughout the first three years of implementation of the CÉRRIS. Qualitative data from the questionnaires were analyzed following a content analysis process. Quantitative data were analyzed using Excel. RESULTS: Since September 2010, 14,061 unique visitors navigated on the CÉRRIS website (23,391 visits) and 2,278 people visited the blog (10,393 visits). Ninety-nine members of the community of practice attended at least one of the 13 Web conferences. Web conference allows a) access to evidence-based practices, b) networking and contact between individuals of different areas and c) access to continuing education remotely. A total of 62 members of the community of practice have actively taken part in one of the 5 debates on the blog. The activity of debate blog a) promotes egalitarian exchanges between different actors in mental health sector, b) encourages diversity of viewpoints and c) create a forum for dialogue and reduce stigma towards people with mental illnesses. For both types of Web activities, technological barriers (network security, outdated computer equipment, etc.) restrained the full participation of the participants. However, the assistance received from organizations and their openness towards new technologies has facilitated the experience of participants in both activities. CONCLUSION: Online activities as Web conference and debate blog are interesting avenues to facilitate access to knowledge and support exchanges between clinical, academic, community-based communities, people who use mental health services and their families.

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)0.005
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.059
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0360.004

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 head0.089
GPT teacher head0.375
Teacher spread0.287 · 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 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

Citations3
Published2015
Admission routes3
Has abstractyes

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