MétaCan
Menu
Back to cohort
Record W2559789396 · doi:10.1080/24694452.2016.1249726

Crip Theory and Country Boys: Masculinity, Dis/Ability, and Place in Rural Southeast Kansas

2016· article· en· W2559789396 on OpenAlexfundno aff
Levi Gahman

Bibliographic record

VenueAnnals of the American Association of Geographers · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsnot available
FundersUniversity of British Columbia
KeywordsMasculinityForegroundingHeteronormativityGender studiesSituatedSociologyContext (archaeology)Human sexualityHegemonic masculinityRuralityRural areaGeographyPolitical scienceLawArchaeology

Abstract

fetched live from OpenAlex

This article examines the discursive and material practices of rural masculinity in Southeast Kansas by foregrounding ability and place as essential in understanding gender. It draws on empirical data gathered from autoethnographic participant-observer research conducted in the region. I begin with a synopsis of critical studies on masculinity in the field of human geography and proceed by offering a summary of research specifically addressing rural masculinities. I then illustrate contrasting perspectives surrounding dis/ability as a concept and also provide an in-depth overview of crip theory. I next describe the research context and methods utilized during the project, as well as how men use their bodies as conduits through which cultural norms pertaining to “manhood” are expressed, affirmed, and reproduced. My results demonstrate how situated assertions of masculinity are inextricably linked to ability, (hetero)sexuality, and sociospatial context, as well as how the pervasive yet veiled pressures of heteronormativity and compulsory able-bodiedness and able-mindedness impose banal and strictly policed social boundaries in regard to belonging and inclusion. The piece is thus a “cripping” of hegemonic notions of manhood in rural Southeast Kansas suggesting that both ability and place are necessary constituent elements for any critical analysis of masculinity.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.015
GPT teacher head0.297
Teacher spread0.282 · 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 designObservational
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

Citations23
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of the American Association of GeographersSame topicGender Roles and Identity StudiesFrench-language works237,207