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Record W4393326781 · doi:10.26522/tg.v8i.4236

“‘I didn’t learn anything’”

2023· article· en· W4393326781 on OpenAlexaffvenueabout
Miria Pelletier

Bibliographic record

Venuethe general brock university Undergraduate journal of history · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsBrock University
Fundersnot available
KeywordsPsychologyMathematics education

Abstract

fetched live from OpenAlex

The Indian residential school system is a part of Canada’s dark and ‘hidden’ history. Despite the Indian Residential Schools Settlement Agreement being reached in 2006, the Truth and Reconciliation Commission of Canada (TRC) publishing its final report in 2015, and the further discovery of unmarked graves at former school sites in 2022, many Canadians are still unaware of the atrocities of residential schools and the continued mistreatment of Indigenous peoples throughout what is now known as Canada. This essay explores Fort Albany Residential School, also known as St. Anne’s, in Fort Albany, ON. Using Department of Indian Affairs school files, accessed through the National Centre for Truth and Reconciliation (NCTR), and testimonies by survivors to the TRC, this essay will argue that St. Anne’s was an unsanitary and dangerous environment for Indigenous children because of inadequate funding, overcrowding and malnourishment, and the use of brutal discipline which caused some students to risk their lives in attempt to escape such horrors.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.291
Threshold uncertainty score0.580

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0200.018
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0030.010
Insufficient payload (model declined to judge)0.0120.003

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 head0.024
GPT teacher head0.251
Teacher spread0.227 · 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 designNot applicable
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 routes3
Has abstractyes

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