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Record W2142916277

Participatory health research: celebrating smoke-free homes.

2013· article· en· W2142916277 on OpenAlexaff
Vivian R. Ramsden, Shari McKay, Shirley Bighead, Gail Boucher, Carrie Bourassa, Peter Butt, Andrea Clinton, Jackie Crowe, Fred Felix, Derek Jorgenson, Karen F. LaRocque, Nora McKee, Irene Nketia, Norma Rabbitskin, Ella Thunderchild, Cheryl Troupe, Tara Turner

Bibliographic record

VenuePubMed · 2013
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPatienceTransformative learningPublic relationsCitizen journalismCommunity-based participatory researchCommunity engagementParticipatory action researchProcess (computing)Community healthHealth careBusinessKnowledge managementMedicineSociologyPsychologyNursingComputer sciencePolitical sciencePublic healthPedagogySocial psychologyWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

For community engagement to be successful, the interests of the community must be taken into account and researchers must become facilitators. Patience is required. Meaningful and sustainable relationships that have been developed over time promote mutual learning and capacity building among the partners (Elders, community members, health care providers, and researchers). In addition, community engagement leads to the sharing of available resources (eg, human, time, and financial) and to a sustained commitment by the partners. This mutual commitment makes future projects easier to develop and complete. Thus, authentic transformative health development, informed by participatory health research, becomes an ongoing process.

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)0.018
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, 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 score0.702
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.932
GPT teacher head0.698
Teacher spread0.234 · 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

Citations16
Published2013
Admission routes1
Has abstractyes

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