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Record W2531594501 · doi:10.1111/1467-9655.12497

Templates and exclusions: victim centrism in Canada's Truth and Reconciliation Commission on Indian residential schools

2016· article· en· W2531594501 on OpenAlex
Ronald Niezen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of the Royal Anthropological Institute · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCambodian History and Society
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCommissionMandateGenocideNarrativeHarmPoliticsSociologyLawCollective memoryPolitical sciencePublic administrationLiterature

Abstract

fetched live from OpenAlex

In this article I use an ethnographic approach to consider the causes and consequences of a focus on ‘survivor’ experience in Canada's Truth and Reconciliation Commission (TRC) on Indian residential schools. In this Truth Commission, the interconnected concepts of ‘survivor’, ‘cultural genocide’, ‘trauma’, and ‘healing’ became reference points for much of the testimony that was presented and the ways the schools were represented. Canada's Truth Commission thus offers an example of the consequences of ‘victim centrism’, including the ways that ‘truth‐telling’ can be influenced by the affirmation of particular survivor experiences and the wider goal of reforming the dominant historical narrative of the state through public education. Canada's TRC was limited by its mandate to a particular kind of institution and scope of collective harm. It was at the same time active in its creation of narrative templates, which guided the expression of traumatic personal experience and affirmed the category of residential school ‘survivor’ as the focal point for understanding policy‐driven loss of language, tradition, and political integrity.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.022
GPT teacher head0.274
Teacher spread0.253 · 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