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Record W2125819209 · doi:10.3138/ctr.148.38

Speaking Out on Violence and Social Change: Transmedia Storytelling with Remotely Situated Women in Nepal and Canada

2011· article· en· W2125819209 on OpenAlexvenueaboutno aff
Emma Alexander, Edith Regier

Bibliographic record

VenueCanadian Theatre Review · 2011
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsnot available
Fundersnot available
KeywordsStorytellingSituatedCitizen journalismGender studiesSociologyGeneral partnershipMedia studiesParticipatory action researchPolitical scienceAnthropologyArtNarrative

Abstract

fetched live from OpenAlex

In 2008–2009, Crossing Communities Art Project based in Winnipeg, MB extended its international transmedia project lookinginspeakingout.com to Nepal, in partnership with the Women Foundation Nepal. In this essay we describe the relational creative process between women in our projects in Canada and Nepal, including our collectively directed videos and public forums. Participating women in both countries worked collaboratively with Canadian artists to portray their lives; they described personal histories of gendered violence, enforced widowhood, self-harm, and living with HIV-AIDS. The videos described in this essay including documentary footage of the project are available for screening on the website, www.lookinginspeakingout.com . While the lookinginspeakingout.com project and this essay contribute some new understandings to the emerging field of collective transmedia storytelling in particular with women in remote locations, we recognize that our exploration of participatory video, authorship, social change, and the impacts of relational art projects have raised more questions than answers.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.928
Threshold uncertainty score0.477

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.090
GPT teacher head0.315
Teacher spread0.225 · 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 designOther design
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

Citations5
Published2011
Admission routes2
Has abstractyes

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