MétaCan
Menu
Back to cohort
Record W2490774372

Between the therapeutic and the democratic? Mediating disability memories online

2014· article· en· W2490774372 on OpenAlexaboutno aff
Red Chidgey

Bibliographic record

VenueResearch Portal (King's College London) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
Fundersnot available
KeywordsDemocracyInternet privacyPolitical sciencePsychologyPublic relationsComputer sciencePoliticsLaw
DOInot available

Abstract

fetched live from OpenAlex

Disabled people constitute the “largest minority in the world” (United Nations 2006). As such, a study of contemporary memory-making practices around disability can provide a crucial lens through which to engage with ongoing issues of socio-economic and cultural marginalization. This article examines two digital memory projects which showcase the life stories and creative outputs of people with disabilities: the Museum of the Person USA (Bloomington, US) and Envisioning New Meanings of Disability and Difference (Toronto, Canada). I argue that a close analysis of these projects illustrates a current tension between autobiographical, self-expressive memory narratives, and those orientated by wider, socio-political claims. Significantly, gendered aspects of disability discourses also work to unsettle the boundaries of what we understand the ‘therapeutic’ and ‘democratic’ to be. At present there is scant research taking people with disabilities’ own testimony and experience as its core sources. The rise of networked technologies and the opportunities this creates for marginal memories to be publicly shared and witnessed therefore provides a compelling context through which to examine the mediation of disability stories online, and the ways in which these memories can act as tentative resources for social justice claims.

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)0.060
metaresearch head score (Gemma)0.036
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0600.036
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0040.011
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.416
GPT teacher head0.591
Teacher spread0.175 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueResearch Portal (King's College London)Same topicParticipatory Visual Research MethodsFrench-language works237,207