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Record W2790633382

The (M)otherhood trap: reconsidering sex, gender, and legislative recruitment

2017· other· en· W2790633382 on OpenAlexaboutno aff
Rosie Campbell, Sarah Childs

Bibliographic record

VenueBIROn (Birkbeck, University of London) · 2017
Typeother
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsLegislaturePolitical scienceGender studiesCriticismIdentity (music)Face (sociological concept)Competence (human resources)SociologySocial scienceSocial psychologyLawPsychology
DOInot available

Abstract

fetched live from OpenAlex

Book snopsis: When women in politics interact with reporters, opponents, and constituents, they are forced to confront their parental status. If they have children, they are questioned about their competence in both their public and private lives. If they don’t, they face criticism for not understanding or relating to key policy domains. This “damned if you do, damned if you don’t” conundrum raises difficult questions about how politicians, voters, and the media navigate the intersection of gender, parental status, and politics.
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\nMothers and Others brings together scholars researching political careers, party organization, political behaviour and representation, and public policy to discuss the role of parental status in political life. They look at three main areas of citizen engagement with the political system – parenthood and political careers, parenthood in the media, and parenthood and political behaviour – to argue that being a parent is a gendered political identity that influences how, why, and to what extent women (and men) engage with politics.
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\nThe first major comparative analysis of the role of parenthood in politics, Mothers and Others makes important observations about what we know and what we still need to find out.
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\nMothers and Others is for scholars and students of political science, gender and women’s studies, and sociology both in Canada and abroad.

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: Other · Consensus signal: Other
Teacher disagreement score0.462
Threshold uncertainty score0.994

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 studies0.0010.001
Scholarly communication0.0000.000
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 head0.135
GPT teacher head0.310
Teacher spread0.175 · 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
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
Published2017
Admission routes1
Has abstractyes

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