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Record W4404157088 · doi:10.1515/9780228006886

Daughters of Aataentsic

2021· book· en· W4404157088 on OpenAlexaboutno aff
Kathryn Magee Labelle

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2021
Typebook
Languageen
FieldArts and Humanities
TopicAncient Near East History
Canadian institutionsnot available
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex

Daughters of Aataentsic highlights and connects the unique lives of seven Weⁿdat/Waⁿdat women whose legacies are still felt today. Spanning the continent and the colonial borders of New France, British North America, Canada, and the United States, this book shows how Wendat people and place came together in Ontario, Quebec, Michigan, Ohio, Kansas, and Oklahoma, and how generations of activism became intimately tied with notions of family, community, motherwork, and legacy from the seventeenth to the twenty-first century. The lives of the seven women tell a story of individual and community triumph despite difficulties and great loss. Kathryn Magee Labelle aims to decolonize the historical discipline by researching with Indigenous people rather than researching on them. It is a collaborative effort, guided by an advisory council of eight Weⁿdat/Waⁿdat women, reflecting the needs and desires of community members. Daughters of Aataentsic challenges colonial interpretations by demonstrating the centrality of women, past and present, to Weⁿdat/Waⁿdat culture and history. Labelle draws from institutional archives and published works, as well as from oral histories and private collections. Breaking new ground in both historical narratives and community-guided research in North America, Daughters of Aataentsic offers an alternative narrative by considering the ways in which individual Weⁿdat/Waⁿdat women resisted colonialism, preserved their culture, and acted as matriarchs.

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)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.025
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.002
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0120.002

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 head0.021
GPT teacher head0.182
Teacher spread0.161 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueMcGill-Queen's University Press eBooksSame topicAncient Near East HistoryFrench-language works237,207