MétaCan
Menu
← Back to cohort
Record W7132907858

Fixing Canada: A Century of Indigenous-Targeted State Commissions of Inquiry

2025· dissertation· W7132907858 on OpenAlexaboutno aff
Mayana C. Slobodian

Bibliographic record

VenueTSpace · 2025
Typedissertation
Language
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)CommissionOppressionPoliticsIndigenousPhenomenon
DOInot available

Abstract

fetched live from OpenAlex

State commissions are legal rituals and techniques of knowledge production that have been disproportionately used to navigate what has long been known as “the Indian Problem.” Out of 376 Canadian federal state commissions called since Confederation, at least 44 or 12% were called to address challenges arising from the governance, dispossession, and oppression of the Indigenous Peoples and nations. This doctoral project takes on this overlooked aspect of Canadian legal and political history in three parts. Each chapter is a manuscript that has been accepted to a peer-reviewed journal: Canadian Journal of Law and Society, Canadian Historical Studies, and BC Studies. The first establishes the historical phenomenon of Indigenous-focused state commissions through a discussion of the Truth and Reconciliation Commission of Canada; the following two are case studies related to the Royal Commission on Indian Affairs in the Province of British Columbia, conducted a century before.

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)0.007
metaresearch head score (Gemma)0.014
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.724
Threshold uncertainty score0.840

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.014
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0680.066
Scholarly communication0.0180.006
Open science0.0030.007
Research integrity0.0040.010
Insufficient payload (model declined to judge)0.0050.000

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 head0.021
GPT teacher head0.353
Teacher spread0.332 · 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueTSpace→Same topicIndigenous Health, Education, and Rights→French-language works237,207→