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Record W3043821385 · doi:10.18357/tar111202019461

Let the Land Heal You

2020· article· en· W3043821385 on OpenAlexaffvenue
Charlene Menacho

Bibliographic record

VenueThe Arbutus Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsColonizationIndigenousOppressionCeremonyResource (disambiguation)SociologyEthnologyGeographyEnvironmental ethicsPolitical scienceEcologyArchaeologyLawBiologyComputer science

Abstract

fetched live from OpenAlex

Colonization has affected Indigenous communities and created a major shift in Indigenous ways of being,knowing, and doing. This letter explores how colonization has caused trauma for Indigenous communities,specifically Dene men in the Northwest Territories. As a Dene woman and current student in a social workprogram, I work to uphold my responsibility to learn and be a resource to my people. In this letter, I willdiscuss the impacts of colonization on Dene men as a source of trauma, and the importance of returningto the land to heal oneself through Dene practices. I begin by discussing Dene people’s relationship tothe land as conveyed through our Creation Story. Next, I provide an overview of Dene experiences ofcolonization and systemic oppression. I then reflect on healing our historical trauma by returning to theland and allowing the land to heal us through ceremony. Keywords: Colonization, trauma, Dene

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)0.004
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: Other · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0030.004
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0150.003

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 head0.047
GPT teacher head0.346
Teacher spread0.298 · 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
GenreOther

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

Citations1
Published2020
Admission routes2
Has abstractyes

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