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Record W2953584084 · doi:10.17507/tpls.0907.01

Witnessing the Unspoken Truth: On Residential School Survivors' Testimonies in Canada

2019· article· en· W2953584084 on OpenAlexaboutno aff
Kamelia Talebian Sedehi

Bibliographic record

VenueTheory and Practice in Language Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsResidential schoolActive listeningIndigenousOrder (exchange)PsychologyCriminologySociologyGender studiesSocioeconomicsPsychotherapistBusiness

Abstract

fetched live from OpenAlex

Residential schools functioned from 1876 to 1996 in Canada in order to assimilate Indigenous children to Euro- Canadian culture. By implementation of Indian Act (1876), the Indigenous children were taken away from their parents and sent to these schools. The trauma that these kids underwent as a result of physical, mental and sexual abuse at these residential schools has not been discussed by the survivors for many years. Therefore, the current research will focus on ten testimonies by the survivors of residential schools which have been selected from YouTube in order to indicate how their school days experience was narrated to the listener. The survivors of residential schools were witnesses of those incidents and they need a listener to vocalize what remained unspoken for long. The concept of trauma by Judith Herman and testimony and witnessing by Laub and Felman will be discussed while listening to these testimonies by the survivors.

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)0.004
metaresearch head score (Gemma)0.020
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 score0.154
Threshold uncertainty score0.311

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0360.009
Scholarly communication0.0050.002
Open science0.0020.006
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.351
Teacher spread0.336 · 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

Citations14
Published2019
Admission routes1
Has abstractyes

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