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Record W2177588682 · doi:10.5206/fpq/2015.2.2

Feminist Reclamations of Normative Masculinity: On Democratic Manhood, Feminist Masculinity, and Allyship Practices

2015· article· en· W2177588682 on OpenAlexvenueno aff
Ben Almassi

Bibliographic record

VenueFeminist Philosophy Quarterly · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMasculinityPatriarchyGender studiesSociologyNormativeFeminismContradictionAndrogynyDominance (genetics)LawPolitical sciencePhilosophyEpistemology

Abstract

fetched live from OpenAlex

‘Feminist masculinity’ might seem like a contradiction in terms. One might have assumed that we can embrace feminism or embrace masculinity, but not both. If traditional masculinity is contrary to feminist values, a pressing query for feminist men is whether repudiation of traditional masculinity should move one to reject normative masculinity entirely, or to reframe and reclaim it instead. bell hooks and Michael Kimmel each counsel against discarding manhood and masculinity. hooks envisions feminist masculinity as an alternative to patriarchal dominance, with masculinity to be reconstituted in terms of love, integrity, and mutuality; Kimmel advocates moving from immature and traditional masculinities toward justice and democratic manhood, with a new model of masculinity that identifies real men with adulthood and doing the right thing. Neither proposal provides a viable stance for feminist men without collapsing into androgyny or risking erasure of some men’s and women’s identities and experiences. Building on Alcoff’s work on anti-racist whiteness, I suggest that feminist allyship practices ground a normative model of masculinity compatible with, and informed by, feminist values. We may understand allyship masculinities as open-ended feminist approaches to manhood: masculinities predicated on recognizing and responding to, rather than ignoring or accepting, the privileges and expectations distinctive of men under patriarchy.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.805
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.104
GPT teacher head0.346
Teacher spread0.242 · 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 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

Citations14
Published2015
Admission routes1
Has abstractyes

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