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Record W3177136406 · doi:10.1080/17439884.2021.1945089

Toward ‘more participatory' participatory video: A thematic review of literature

2021· review· en· W3177136406 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.

Bibliographic record

VenueLearning Media and Technology · 2021
Typereview
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsParticipatory GISCitizen journalismSociologyFilmmakingPoliticsPublic relationsSocial mediaPolitical scienceMedia studiesSocial scienceLawVisual arts

Abstract

fetched live from OpenAlex

Dramatically increased accessibility to recording technologies and participatory nature of today’s information environment certainly have emancipatory potentials. Perhaps, we live in an era that Dziga Vertov once dreamed of: mass authorship of filmmaking reveals the injustice and inequality of the world. However, in reality, we are witnessing political turmoil characterized by partisan division and a surge of populism. Against such a backdrop, we need to rethink the ways to unleash the critical potential of participatory media and reenvision how it can facilitate people’s civic engagements for social transformation. By positing that very act of defining participation as a political struggle, this paper thematically reviews literature and examine how diverse forms of participation manifests through different designs of participatory video projects. Along the journey, I interrogate the premises of participatory video, explore the diversity of the approach, and identify the challenges and dilemmas for making participatory video ‘more participatory.’

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)0.006
metaresearch head score (Gemma)0.047
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.876
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.047
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.003
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.601
GPT teacher head0.622
Teacher spread0.021 · 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