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Record W4385321635 · doi:10.22190/full221124007p

A LONG STORY OF OPPRESSION OF INDIGENOUS COMMUNITIES

2022· article· en· W4385321635 on OpenAlexaboutno aff
Anja Petrović

Bibliographic record

VenueFacta Universitatis Series Linguistics and Literature · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousOppressionReading (process)ColonialismOrder (exchange)GirlSociologyIndigenous cultureHistoryEnvironmental ethicsGender studiesAestheticsPolitical scienceLawPsychologyPoliticsEcologyArtArchaeologyPhilosophy

Abstract

fetched live from OpenAlex

Canada’s colonial past may be arguably described as the process of forcibly disconnecting Indigenous peoples from their land, disintegrating their traditional ways of life, and destroying their system of values over an extensive period of time, before confining these communities to reserves. The detrimental consequences of physical segregation enforced through the Residential School System and life on the reserves are seen to this day through the fact that most Indigenous peoples were left disconnected from their traditional culture and economically impoverished in modern-day society. One of the ways to get an accurate insight into this methodical disempowerment process would be to experience it from the Indigenous point of view by reading their literature. Thus, this paper aims at analyzing the works of Beth Brant (“A Long Story”), Emma Lee Warrior (“Compatriots”), and Emily Pauline Johnson (“A Red Girl’s Reasoning”) in the postcolonial framework in order to expose instances of both spiritual and physical discrimination as well as economic marginalization imposed on Indigenous characters in these stories.

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)0.003
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 score0.898
Threshold uncertainty score0.350

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0540.044
Scholarly communication0.0070.004
Open science0.0020.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.250
Teacher spread0.241 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueFacta Universitatis Series Linguistics and LiteratureSame topicIndigenous Health, Education, and RightsFrench-language works237,207