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THE NORMALITY OF DOING THINGS DIFFERENTLY: BODIES, SPACES AND DISABILITY GEOGRAPHY

2007· article· en· W1972702097 on OpenAlexaffabout
Nancy Hansen, Chris Philo

Bibliographic record

VenueTijdschrift voor Economische en Sociale Geografie · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsNormalityEveryday lifeMateriality (auditing)Disabled peopleSociologyGender studiesDisability studiesPoliticsCoping (psychology)IdeologyAestheticsSocial psychologyPsychologyEpistemologyPolitical scienceLife styleArtLaw

Abstract

fetched live from OpenAlex

ABSTRACT This paper reflects upon treatments of the body in both disability studies and disability geography, taking seriously the impaired body in its immediate materiality: in its flesh‐and‐boneness, in how it deals with everyday practices in everyday places, as this embodiment is ‘voiced’ by disabled people themselves. The paper discusses Hansen's in‐depth research with a sample of disabled women living in Scotland and Canada, teasing out their experiences of coping with impaired bodies in non‐disabled spaces. Particular attention is given to their own bodily practices, complete with ‘timings and spacings’ that may depart from what is supposedly normal for non‐disabled people. It is also shown how these women resist ableist accommodations that entail both modifying external spaces and ‘correcting’ bodily differences. The paper concludes by identifying a key but neglected step within the ‘politics’ of better accommodating disabled people: namely, shifting the emphasis from (aiding disabled people in) doing things ‘normally’ to (underlining for all of ‘us’) simply the normality of doing things differently.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.062
Scholarly communication0.0090.005
Open science0.0010.011
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.011
GPT teacher head0.286
Teacher spread0.275 · 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 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

Citations145
Published2007
Admission routes2
Has abstractyes

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