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Record W4256479915 · doi:10.18192/aporia.v4i1.2921

[no title]

2012· article· fr· W4256479915 on OpenAlexvenueno aff
JACKIE STACEY, Mary Bryson

Bibliographic record

VenueAporia · 2012
Typearticle
Languagefr
FieldArts and Humanities
TopicSimone de Beauvoir and Sartre
Canadian institutionsnot available
Fundersnot available
KeywordsTemporalityQueerHuman sexualityTemporalitiesLesbianNormativeAestheticsSociologyGender studiesPsychoanalysisPsychologyArtEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Survivorship suggests a temporal relation. It speaks to the endurance of past trauma and looks forward to a future that it wills into being through the overcoming of adversity. This article traces the warped temporalities of cancer survivorship, exploring its queer dimensions by combining theoretical discussions with readings of two lesbian interventions that address normative visions and narrations of healthy/diseased bodies. Cancer survivorship in each case becomes a poetic narration of desire and disease through the queering of temporality. The authors argue that the extent to which cancer's time warp here belongs to queer temporality depends on whether the queerness refers only to the odd, the uncanny, the indeterminate and the undecidable. Or if, instead, cancer's time warp is queer in the sense that sexuality is already present in cancer's disturbance to temporality. In so far as queer carries with it the traces of sexualities deemed undesirable and perverse, then such connections move beyond an analogous and into an ontological register.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.983
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.020
Scholarly communication0.0060.007
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0170.002

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 head0.032
GPT teacher head0.242
Teacher spread0.210 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations11
Published2012
Admission routes1
Has abstractyes

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