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Record W4391962913 · doi:10.53841/bpslg.2006.7.2.204

Citizenship and the politics of acknowledgement: The construction of the ‘other’ as sexualised and embodied ‘strangers’

2006· article· en· W4391962913 on OpenAlexaff
Mehmoona Moosa-Mitha

Bibliographic record

VenueLesbian & gay psychology review · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsDynamic Systems Analysis (Canada)University of Victoria
Fundersnot available
KeywordsAcknowledgementEmbodied cognitionCitizenshipPoliticsSociologyPolitical scienceGender studiesMedia studiesComputer securityLawEpistemologyComputer science

Abstract

fetched live from OpenAlex

I examine the politics of acknowledgement, integral to the enactment of citizenship, and examine the ways by which citizens on the basis of race and sexuality are treated as ‘strangers’ through a construction of them as sexualised and embodied beings. I undertake my analysis through a discussion of the essentialising processes by which sexually-exploited children, gay, lesbian, bisexual and transgendered as well as Black people are characterised solely in terms of the sexualised embodied ‘other’ and discriminated from the normatively assumed disembodied citizen. By deliberately choosing to treat each group as distinct I highlight the hegemonic nature of normative practices that repeatedly use sexuality and embodiment as exclusionary sites. This gets further reiterated in my examination of social institutional assumptions and practices commonly experienced by all three groups that are characterised by violence, stigma and the refusal to endorse these citizens’ their rights of protection or well-being.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.675
Threshold uncertainty score0.883

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 studies0.0000.002
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 head0.065
GPT teacher head0.388
Teacher spread0.324 · 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 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
Published2006
Admission routes1
Has abstractyes

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