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Record W2051734349 · doi:10.3167/ghs.2014.070110

HearSay, HereSay, HerSay: A Photo-essay

2014· article· en· W2051734349 on OpenAlexaboutno aff
Cora-Lee Conway, Simone Viger

Bibliographic record

VenueGirlhood Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
Fundersnot available
KeywordsGirlTheme (computing)PhotovoiceFriendshipHearsayClubHuman sexualitySociologyGender studiesMedia studiesAnonymityVisual artsHistoryPsychologySocial scienceArtLawPolitical scienceMedicineDevelopmental psychology

Abstract

fetched live from OpenAlex

On 11 October 2012, the Institute of Gender, Sexuality and Feminist Studies (IGSFS) of McGill University, Montreal, hosted an international research symposium to coincide with the first International Day of the Girl Child. The symposium, Girlhood Studies and the Politics of Place: New Paradigms of Research, exhibited HearSay, HereSay, HerSay, a photovoice project from the Girls’ Multimedia Club afterschool program for girls. Delivered by the Girls Action Foundation, this program, now in its third year, offers multimedia skill-building for girls as a tool for personal growth and social change. The fifth and sixth grade girls (aged between 10 and 13 years) in the HearSay, HereSay, HerSay project explored the theme of safety, doing so through their photos of the places and spaces they navigate every day around their school. Their photos and corresponding captions tell stories about friendship, loss, and aspiration that shed light on their day-to-day realities and experiences. The combination of image and text presented in this photo-essay chronicles the process involved in creating a space where this kind of media-enabled exploration for girls is possible.

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)0.006
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.801
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.695
GPT teacher head0.673
Teacher spread0.022 · 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 designNot applicable
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

Citations0
Published2014
Admission routes1
Has abstractyes

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