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Record W3129946036 · doi:10.7331/vm.v8i1.129

Screening Participatory Videos and Cellphilms (Cellphone + Film Production) in Live-Audience and Online Spaces

2020· article· en· W3129946036 on OpenAlexaffabout
Casey Burkholder, Matt Rogers

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsCitizen journalismObligationParticipatory action researchPublic relationsParticipatory GISSociologyVariety (cybernetics)Participatory cultureInternet privacyPolitical scienceMedia studiesComputer science

Abstract

fetched live from OpenAlex

Engaging in participatory visual research provides opportunities to share provocative research results with a variety of audiences in order to shift public perception, critique policy, and work toward social change. A range of ethical issues emerge in screening participatory videos and cellphilms (cellphone + film production) in front of live audiences and in online spaces. Through a reflection on two participatory visual research projects working with youth in New Brunswick Canada, we describe the opportunities and challenges to screening and archiving participant-produced videos. We argue that project facilitators have an ethical obligation to participants and audiences in navigating screenings in person and online contexts. It is the facilitators’ obligation to the participants, their works, and our projects to react and respond when audiences laugh derisively, engage in microaggressions, provide hateful comments, and when audiences celebrate the participants’ works in surface level or unserious ways.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.542

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.659
GPT teacher head0.581
Teacher spread0.078 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2020
Admission routes2
Has abstractyes

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