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Record W4366415362 · doi:10.1111/aman.13846

“You have harmed us”: Stories of violence, narratives of hope among the Port Gamble S'Klallam

2023· article· en· W4366415362 on OpenAlexaffabout
Lindsay M. Montgomery

Bibliographic record

VenueAmerican Anthropologist · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPersonhoodIndigenousNarrativeSociologyScholarshipInterpersonal violenceIdentity (music)Gender studiesAestheticsPoison controlLawSuicide preventionPolitical scienceLiteratureMedicine

Abstract

fetched live from OpenAlex

Abstract In 2015, the Canadian Truth and Reconciliation Commission (TRC) released a formal report containing hundreds of testimonies documenting the physical, psychological, and epistemological violence inflicted on Indigenous youth in federally funded and church‐run residential schools. The TRC is part of a growing body of academic and publicly oriented scholarship that takes a documentary approach to reckoning with historical trauma in North America. By focusing on harm and loss, this sort of damage‐centered research unintentionally reinforces unidimensional narratives of Indigenous history and personhood. As Eve Tuck (2009) argues, a desire‐based approach grounded in notions of complex personhood offers an alternative framework for grappling with the legacy of settler‐colonial violence. In this article, I draw on Tuck's approach to interpret a body of object‐based interviews with Port Gamble S'Klallam community members. During these interviews, objects and historic photographs shared with community members elicited stories of interpersonal and structural violence around their experiences with education. Importantly, these materials also evoked stories of refusal, cultural resiliency, and hope. In revealing the complexity of Indigenous experiences with Western‐style education, object‐based interviews present archaeologists with a holistic method for documenting Indigenous histories in ways that challenge damage‐based narratives.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.068
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 head0.023
GPT teacher head0.363
Teacher spread0.340 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2023
Admission routes2
Has abstractyes

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