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Record W4404381092 · doi:10.18733/cpi29722

Stolen Kainai Children: Stories of Survival (Exhibit Video)

2024· article· en· W4404381092 on OpenAlexaffvenueabout
Tiffany Prete

Bibliographic record

VenueCultural and Pedagogical Inquiry · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPacific and Southeast Asian Studies
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsHistoryGenealogyPsychology

Abstract

fetched live from OpenAlex

“Stolen Kainai Children: Stories of Survival” is an exhibition curated by Apooyak'ii / Dr. Tiffany Hind Bull – Prete, a member of the Kainai (Blood Tribe) and an Assistant Professor at the University of Lethbridge, Canada. The exhibit sheds light on the colonial school system’s impact on Indigenous communities, focusing on the experiences of the Niitsitapi (Blackfoot People). Through meticulous research and collaboration with Elders, Dr. Prete presents a comprehensive view of the educational policies that sought to assimilate Indigenous children. The exhibition aligns with the Truth and Reconciliation Commission of Canada’s Calls to Action, offering a platform for Survivors to share their stories and reclaim their identities. Visitors will explore various colonial school models, including day schools and residential schools, gaining insight into the resilience and resistance of Indigenous Peoples. This immersive experience invites attendees to engage with history, honor Survivors’ legacies, and contribute to the path of reconciliation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.286
Threshold uncertainty score0.471

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.531
GPT teacher head0.484
Teacher spread0.047 · 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 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

Citations1
Published2024
Admission routes3
Has abstractyes

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