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Record W7027698969

Death, Power, and Silence:Native Nations’ Ancestral Remains at the Carlisle Barracks, Pennsylvania

2018· other· en· W7027698969 on OpenAlexaboutno aff

Bibliographic record

VenueUEA Digital Repository (University of East Anglia) · 2018
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsScrutinyMainstreamIndigenousCovertNarrative
DOInot available

Abstract

fetched live from OpenAlex

The foci of this chapter are the many troubling issues associated with indigenous student deaths at US and Canadian boarding/residential schools. These institutions were organized to strip students of their cultural traditions and loyalties, in preparation for assimilation into mainstream society. The cemetery of the Carlisle Indian Industrial School is used here as both case study and synecdoche, to address the larger geo-political and historical questions connected with this educational program of cultural genocide. By interweaving an investigation of physical changes to the cemetery with scrutiny of archival documents, the analysis reveals that behind the neat lines of cemetery stones stands a powerful but covert narrative of Native exclusion, segregation, and dispossession. The chapter argues that ongoing scrutiny of both the past and current physical site of the cemetery can supply information that is able (in part) to mitigate the silences, gaps, and pervasive deficiencies of the historical record.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.192

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0200.008
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.012
GPT teacher head0.205
Teacher spread0.193 · 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
Published2018
Admission routes1
Has abstractyes

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