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Record W4313562537 · doi:10.7359/997-2022-lflo

“Thematic Adaptation”. On Localizing the Language of “Global Feminism” and Gender Politics in Transnational Feminist Translation Practice and Studies

2022· book-chapter· en· W4313562537 on OpenAlexfundaboutno aff
Luise von Flotow

Bibliographic record

VenueLingue culture mediazioni · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicHistorical Gender and Feminism Studies
Canadian institutionsnot available
FundersUniversity of Ottawa
KeywordsGender studiesRealmFeminismGender mainstreamingPoliticsSociologyAdaptation (eye)Translation studiesFeminist theorySubordination (linguistics)ColonialismLinguisticsPolitical scienceGender equalityPsychologyLaw

Abstract

fetched live from OpenAlex

This article reviews the linguistic and socio-cultural challenges encountered in the many different attempts by “global feminism” to mobilize concepts deriving from gender politics worldwide: the term “gender” itself and derivations such as “gender mainstreaming” are discussed. Then the article moves to questions around the translation and adaptation of “international gender talk” and cites various discussions from the realm of transnational feminist Translation Studies, a relatively new approach to the problem of communicating “gender” issues across diverse cultural and linguistic borders. It ends with a description and assessment of a recent “localizing” translation project, namely Corps Accord. Pour une sexualité positive (Montreal, Les Éditions du Remue-Ménage, 2019), an intersectional, post-colonial and transnational feminist translation into French of selected chapters from Our Bodies, Ourselves, the famed American feminist reproductive health manual from the 1970s. “Thematic adaptation” is proposed and discussed as an appropriate translation strategy for such genderfocused materials.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.982
Threshold uncertainty score0.650

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.101
GPT teacher head0.362
Teacher spread0.261 · 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 designQualitative
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
Published2022
Admission routes2
Has abstractyes

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