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Record W7012868632

Prizes / Prix

2020· article· en· W7012868632 on OpenAlexaboutno aff

Bibliographic record

VenueÉrudit documents and data repository (Érudit Consortium, University of Montreal) · 2020
Typearticle
Languageen
FieldEngineering
TopicPhysics and Engineering Research Articles
Canadian institutionsnot available
Fundersnot available
KeywordsPatriarchyVariety (cybernetics)State (computer science)Face (sociological concept)Quality (philosophy)Balance (ability)Period (music)Scope (computer science)
DOInot available

Abstract

fetched live from OpenAlex

This book is impressive on a number of different levels, including significance, originality, research quality and overall strength of argument.The scope of analysis is broadly based, extending over the entire period from World War I through the Dprssion years and on to World War II, and exploring the complex relationships that informed public policy, family and gender rles.Dr. Christie's research is founded on a wide variety of historical documents, manuscript and printed, and although many of her arguments are spcifie to Canada she does not hesitate to range more widely into comparative history.At various stages of the book, moreover, the author brings her diverse sources together to reflect on the significance of each piece of the puzzle to the larger picture of family and social power.While she is aware of the lacunae in her own research, Dr. Christie reveals an unusual ability to balance powerful analy sis and insight into family relations with a well informed grasp of abundant secondary sources.Dr. Christie chronicles carefully the graduai defeat of the Victorian maternai feminist idal of family in the face of a rsurgent patriarchy born of two world wars and the Dprssions years, and in so doing exposes the patriarchal underpinnings of the 'breadwinner idal' of Canadian social policy.Engendering the State substantially enriches our understanding of the ways in which the state intruded into, and ultimately shaped, fundamental concepts of social policy, family and gender.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score0.692

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.014
GPT teacher head0.201
Teacher spread0.187 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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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