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Record W2944759311 · doi:10.1017/s0003055402390476

Gendering World Politics: Issues and Approaches in the Post–Cold War Era. By J. Ann Tickner. New York: Columbia University Press, 2001. 262p. $45.00 cloth, $17.50 paper.

2002· article· en· W2944759311 on OpenAlexaff
Sandra Whitworth

Bibliographic record

VenueAmerican Political Science Review · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsYork University
Fundersnot available
KeywordsMainstreamPoliticsState (computer science)International relationsField (mathematics)SociologyMedia studiesPolitical scienceCold warGender studiesSocial scienceLaw

Abstract

fetched live from OpenAlex

J. Ann Tickner's Gendering World Politics revisits—in the best sense of the term—many of the same themes she explored in her pathbreaking 1992 book, Gender in International Relations . The current volume comes almost a decade after that first book appeared—a decade during which both the field of international relations and the subfield of feminist IR have seen dramatic change and, especially in the case of the latter, exponential growth. Gendering World Politics brings us up to date on the current state of debates within IR and provides a thoroughgoing and sophisticated introduction to what is now a very sizable feminist IR literature. Perhaps the most important contribution of this book, however, is that it allows Tickner to move forward an agenda she has been exploring for a number of years now, to encourage “conversations” between mainstream and feminist IR, and, in particular, to ask why authentic conversations, despite a decade of both turmoil and growth, have not been more forthcoming. As she writes in the Preface, “I have spent much of this time trying to understand why the intellectual gulf between different IR approaches is so wide and why conversations between proponents of these various approaches can be so difficult” (p. x).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.866
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.083
GPT teacher head0.316
Teacher spread0.233 · 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.

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
Published2002
Admission routes1
Has abstractyes

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