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Record W6961292346 · doi:10.14288/ejas.v7i2.198722

Indigenous Women in a Colonial Legal Framework: An Intersectional Analysis of the British Columbia Human Rights Tribunal

2023· article· en· W6961292346 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Collections · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTribunalOppressionHuman rightsColonialismIndigenousHarmArgument (complex analysis)

Abstract

fetched live from OpenAlex

The British Columbia Human Rights Tribunal is a space to heal and assign reparations for discriminatory action. But before the reparations can occur, the harm must be verified. To do this, the onus is on the potential victim of discrimination, the complainant, to prove a correlation between their ‘characteristics’ and the occurrence of discrimination. The format of the British Columbia Human Rights Tribunal (BC HRT), which operates on specific lines of discrimination and tackles instances of discrimination based on parcelled out categories, does not have a framework that allows for an intersectional analysis. As a result of this framework, the BC HRT cannot look at the whole picture and must instead fit narratives into the framework of colonial law, in which the whole experience is parcelled and judged. Looking at 21 cases brought to the BC HRT by Indigenous women complainants since 2015, I examine how intersecting lines of oppression are managed and approached by the BC HRT. I find that the format of the BC HRT is not conceptualizing discrimination as experienced by people with complex intersectional identities. Instead the HRT is forcing the complainants to parcel their experience into clear lines which serves to destabilize and make illegitimate the argument brought by the complainant.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.080
Threshold uncertainty score0.582

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.007
Science and technology studies0.0350.035
Scholarly communication0.0150.004
Open science0.0020.010
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.000

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 head0.029
GPT teacher head0.245
Teacher spread0.216 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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