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Record W4245661608 · doi:10.22215/etd/2016-11609

Who Do We Think They Are? Transformations in Feminist Knowledge Production Regarding Men Who Have Used Violence in Their Heterosexual Relationships in Canada

2016· dissertation· en· W4245661608 on OpenAlexaffabout
Deborah Conners

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsCarleton University
Fundersnot available
KeywordsScholarshipGender studiesFeminismFeminist theorySociologyAgency (philosophy)Feminist philosophyDomestic violencePolitical scienceSocial sciencePoison controlSuicide preventionLaw

Abstract

fetched live from OpenAlex

apparently irreconcilable positions and positioning to the degree necessary for a social system to function, is an urgent need in our conflict-ridden world.My PhD dissertation is an attempt to contribute to understandings of how this need might be met within feminist sociological contexts.What I have called participant objectivation… is no doubt the most difficult exercise of all because it requires a break with the deepest and most unconscious adherences and adhesions, those that quite often give the object its very "interest" for those who study it -i.e.everything about their relation to the object they try to know that they least want to know (Bourdieu & Wacquant, 1992, p. 253).

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)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.830

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0290.016
Scholarly communication0.0110.003
Open science0.0020.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.038
GPT teacher head0.309
Teacher spread0.271 · 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 designTheoretical or conceptual
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

Citations1
Published2016
Admission routes2
Has abstractyes

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