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Record W2138368329 · doi:10.1177/1757975910393165

Tackling inequity through a Photovoice project on the social determinants of health

2011· article· en· W2138368329 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGlobal Health Promotion · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsWellesley Institute
Fundersnot available
KeywordsPhotovoiceNeighbourhood (mathematics)ImmigrationStorytellingPublic healthPolitical scienceSociologyPublic relationsEnvironmental healthGerontologyNursingMedicineEconomic growthLaw

Abstract

fetched live from OpenAlex

St. Jamestown is the most densely populated vertical immigrant-receiving urban neighbourhood in Canada. The Photovoice project engaged and empowered immigrant residents of St. Jamestown to influence public policy and secure improved local services for promoting health and well-being. Twenty-seven residents used photography and storytelling to record neighbourhood characteristics and their implications on residents' health and well-being. Eight participants presented recommendations actionable at neighbourhood level to the councillor and worked with the city to carry out the recommendations made that were recognized as important for neighbourhood residents' health and well-being. The results indicate Photovoice can be used to generate dialogue on community concerns and priorities and promote community action.

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)0.014
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.834
GPT teacher head0.709
Teacher spread0.124 · 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