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Record W2467761435 · doi:10.1080/07393148.2016.1189029

Lessons in suffering: Greek tragedy’s teachings on disability through Sophocles’ <i>Philoctetes</i>

2016· article· en· W2467761435 on OpenAlexaff
Jennifer Gagnon

Bibliographic record

VenueNew Political Science · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicFoucault, Power, and Ethics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIngenuityTragedy (event)PoliticsDiversity (politics)Disability studiesSociologyPsychologyEpistemologyPsychoanalysisAestheticsPolitical scienceLawPhilosophyGender studiesSocial science

Abstract

fetched live from OpenAlex

Abstract Political theory often sees disability through the negative language of abnormality and inability, which perceives disability as a deficiency that deviates from the able-bodied. However, critical disability studies strives to transform the disabling language of political theory into an enabling project that sees the ability, unique perspectives, capacities, and contributions of people with disabilities. Through Sophocles’ Philoctetes, this article examines the negative ways in which disability is conceptualized, socially constructed, and (dis)valued, as well as the possibilities for a positive and enabling theory of disability. The character of Philoctetes exposes the negative social construction of disability as well as the extraordinary ability of those who live with chronic impairments. The Philoctetes meditates on the status of the disabled who are unfairly isolated from human community and who are often unfairly seen in an instrumental fashion that fails to recognize their fundamental status as human beings who are capable, valuable, and essential for the success of human endeavors and community. For political theory, the Philoctetes demonstrates the ability in disability, and shines brightly on the essential contributions that people with disabilities make in our societies. Philoctetes shows that the lives of people who live daily with chronic impairments need not be seen as necessarily tragic. Instead, these modes of being speak to human diversity, ingenuity, and triumph.

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0120.038
Scholarly communication0.0070.005
Open science0.0010.007
Research integrity0.0030.012
Insufficient payload (model declined to judge)0.0040.001

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 head0.078
GPT teacher head0.402
Teacher spread0.325 · 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 designNot applicable
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

Citations2
Published2016
Admission routes1
Has abstractyes

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