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Record W4367158957 · doi:10.7202/1081385ar

Child of the State, Mother of the Nation: Aboriginal Women and the Ideology of Motherhood

2021· article· en· W4367158957 on OpenAlexaffabout
Jo‐Anne Fiske

Bibliographic record

VenueCulture · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsGender studiesAppropriationPoliticsIdeologySociologySubordination (linguistics)CitizenshipState (computer science)Identity (music)ColonialismPhenomenonPatriarchyPolitical scienceLawAesthetics

Abstract

fetched live from OpenAlex

Around the world, in revolutions, periods of social reform, anti-colonial struggles and in international warfare, images of the mother have come to represent political aspirations. However common this phenomenon, is the meanings attributed to motherhood and the symbols employed to venerate it are constituted in the specificity of political struggles. In this paper I analyze the discourse of motherhood as constructed by aboriginal women of Canada in their struggle for self-determination and full citizenship in First Nations, looking at two discrete yet interrelated themes: the absence of patriarchal appropriation of motherhood symbols as found elsewhere among colonized peoples and the distinct development of motherhood symbols in women’s own political culture. By doing so, I hope to illuminate processes by which women produce moral accounts of themselves as mothers and in the process generate metaphors of motherhood that come to stand for aboriginal female identity. Finally, I conclude with an analysis of the failure of the motherhood discourse to alter First Nations’s women’s political subordination.

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)0.003
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 score0.399
Threshold uncertainty score0.793

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.020
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.269
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
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

Citations24
Published2021
Admission routes2
Has abstractyes

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