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Record W226311628

Civil Claims for Uncivilized Acts: Filing Suit Against the Government for American Indian Boarding School Abuses

2006· article· en· W226311628 on OpenAlexaboutno aff
Andrea A. Curcio

Bibliographic record

VenueHastings race and poverty law journal · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsRedressGovernment (linguistics)Boarding schoolPolitical scienceCivil libertiesLawPublic administrationCriminologySociologyHistoryPolitics
DOInot available

Abstract

fetched live from OpenAlex

This article discusses how, from the late 1800s through the early 1970s, the American government removed American Indian children from their parents and placed them in government-run boarding schools as part of the plan to decimate American Indians as a distinct people. It discusses the schools' inhumane living conditions as well as the abuse suffered by young children as the government implemented its de-culturization plan through these schools. The article then discusses potential civil claims available to boarding school attendees, including claims under the Tucker Act and FTCA, as well as international law claims. It also briefly reviews Canadian governmental attempts to aid boarding school litigants and urges the United States to undertake similar action, or to consider other ways to begin to redress some of the wrongs inflicted upon boarding school survivors. The article concludes by arguing that although centuries of genocidal conduct cannot be redressed by litigation of the boarding school cases, cases brought by boarding school attendees can vindicate individual litigants and pursuit of these claims also can serve to bring the long-hidden horrors of the government's abusive and horrendous treatment of American Indian children into the public consciousness and dialogue.

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)0.005
metaresearch head score (Gemma)0.023
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 score0.205
Threshold uncertainty score0.407

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.023
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0240.010
Scholarly communication0.0080.002
Open science0.0020.005
Research integrity0.0110.010
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 head0.013
GPT teacher head0.277
Teacher spread0.264 · 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

Citations5
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueHastings race and poverty law journal→Same topicIndigenous Health, Education, and Rights→French-language works237,207→