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Record W4237387048 · doi:10.24124/2014/bpgub1005

Theatre for health: "Playing" the price of colonialism on the health of indigenous peoples in Saik'uz territory.

2014· dissertation· en· W4237387048 on OpenAlexaboutno aff
Lisa Striegler

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousColonialismRacismSettlement (finance)GeographyPolitical scienceCommunity healthGender studiesSociologySocioeconomicsEcologyHealth careLawArchaeology

Abstract

fetched live from OpenAlex

Strong evidence exists that anti-Indigenous racism is built into the fabric of Canadian society and that it is a determinant of Indigenous peoples' health. Colonial policies that historically de-humanized and dislocated Indigenous peoples in order to open territory for European settlement continue to have a negative impact on Indigenous health status today. A mixed methods study combining data from focus groups, individual interviews, participant observation field notes, and surveys explored the use of community-based theatre as a means to ameliorate racism-based health inequities in Saik'uz territory in Northern British Columbia. The findings suggest that community-based theatre provides an effective means for enhancing trust and building relationships within community, and between the traditionally racially divided communities of Saik'uz and the neighbouring District of Vanderhoof. Relationships of trust are crucial elements that contribute to greater well-being for those living in Saik'uz territory. --Leaf ii.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.799
Threshold uncertainty score0.399

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.005
Scholarly communication0.0030.001
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.332
GPT teacher head0.611
Teacher spread0.279 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations2
Published2014
Admission routes1
Has abstractyes

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