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Record W3006223124 · doi:10.15273/jue.v10i1.9945

Pequot Warriors Combating Paper Genocide: How the Eastern Pequot Tribal Nation Uses Education to Resist Cultural Erasure

2020· article· en· W3006223124 on OpenAlexvenueno aff
Lan-Húóng Nguyễn, Eastern Pequot Tribal Nation

Bibliographic record

VenueJournal for Undergraduate Ethnography · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsnot available
FundersU.S. Department of the Interior
KeywordsIndigenousResistance (ecology)TribeBattleErasureState (computer science)GenocideGovernment (linguistics)EthnologyHistorySociologyPolitical scienceLawArchaeology

Abstract

fetched live from OpenAlex

This paper analyzes the southeastern Connecticut Eastern Pequot Tribal Nation’s battle with cultural erasure and resistance through education. Indigenous education programs are gradual yet the most effective method of resisting Western cultural erasure from the United States government, because they peacefully invite both Natives and non-Natives to learn about Native American history outside of European colonizer textbooks. The Tribe battles the erasure that can result from external parties’ ability to grant state or federal titles recognizing tribal authority (known as recognition titles) to determine who receives the powerful stamp of Indigeneity and the right to self- govern. My case study focuses on the Eastern Pequots Archaeology Field School project in collaboration with University of Massachusetts, Boston. I evaluate how the Eastern Pequots use a collaborative archaeology education program with their Tribal members and non-Native individuals to resist erasure by decolonizing Western pedagogy. The Field School has gathered over 99,000 artifacts over 15 seasons that dismantle common misconceptions of how Native Americans lived during the beginning of the United States’ history and redefine modern beliefs about how Natives survived European colonization. The Field School contributes to expanding brief descriptions of Native history into a more complicated and dynamic story that elaborates on Native struggle, survival and resistance.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.820
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.001
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 head0.119
GPT teacher head0.354
Teacher spread0.235 · 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 teacher head, not a consensus.

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
Published2020
Admission routes1
Has abstractyes

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