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Record W2742726681 · doi:10.20360/g2737b

“Before Occupy Central, I Wasn’t Concerned”: Examining Participatory Visual Research for Social Change with Hong Kong-based Filipina Youth

2017· article· en· W2742726681 on OpenAlex
Casey Burkholder

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLanguage and Literacy · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsMcGill University
Fundersnot available
KeywordsFilmmakingCitizen journalismParticipatory action researchCitizenshipGender studiesEthnic groupSociologySocial changeMedia studiesCivic engagementLiteracyPolitical sciencePedagogyVisual artsPoliticsAnthropology

Abstract

fetched live from OpenAlex

This article describes a participatory visual research project with two Hong Kong-based Filipina young women, and explores their understandings of citizenship and civic engagement through cellphilm-making (cellphone + filmmaking), collaborating on the writing of an academic article, and co-presenting research findings at an academic conference in Calgary, Canada. The study finds that Hong Kong’s Occupy Movement encouraged the participants to see themselves as engaged citizens, participate politically in the territory, and work toward social change for ethnic minorities by engaging different audiences through multiliteracy practices in a research for social change framework.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
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 head0.726
GPT teacher head0.652
Teacher spread0.075 · 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