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Record W2790966508 · doi:10.1080/14780887.2018.1442766

Choosing to enter the darkness - <i>a researcher’s reflection on working with suicide survivors</i>: A collage of words and images

2018· article· en· W2790966508 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

VenueQualitative Research in Psychology · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsConcordia University
Fundersnot available
KeywordsTabooSilenceFeelingMeaning (existential)ConstructivePsychologyAestheticsStorytellingMythologyFace (sociological concept)PsychoanalysisVisual artsNarrativeSociologySocial psychologyPsychotherapistProcess (computing)LiteratureArtSocial science

Abstract

fetched live from OpenAlex

It is important to find constructive avenues for breaking the silence and taboo around suicide on both a personal and societal level. This collage of words and images is an iteration based on the extensive research that resulted in the award winning documentary film, The Hidden Face of Suicide. The film enters the world of survivors, those who lost family to suicide, and tells their remarkable stories through the use of mask making and interviews. The survivors expressed that the process of creating masks, telling their stories, and witnessing the positive audience response, gave them a sense of meaning and hope and decreased their feelings of being isolated and stigmatized. After screening the film to diverse audiences internationally, and upon further reflection on the making of the film and the audience responses, the author expresses the findings in another creative medium adding another layer to the tapestry of this process.

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)0.073
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0730.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0010.006
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.888
GPT teacher head0.785
Teacher spread0.103 · 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