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Record W4307516761 · doi:10.1111/1467-9566.13574

The (radical) role of belonging in shifting and expanding understandings of social inclusion for people labelled with intellectual and developmental disabilities

2022· article· en· W4307516761 on OpenAlexafffund
Paige Reeves, David McConnell, Shanon Phelan

Bibliographic record

VenueSociology of Health & Illness · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsDalhousie UniversityUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsInclusion (mineral)Intellectual disabilitySociologyPsychologyDevelopmental psychologyGender studiesPsychiatry

Abstract

fetched live from OpenAlex

There is a gap between the desired outcomes of social inclusion policy and the everyday experiences of people labelled with intellectual and developmental disabilities. Despite belonging rhetorically named in social inclusion policy and practice, belonging is often absent in the lives of people labelled with intellectual and developmental disabilities and remains undertheorised in its relationship to social inclusion. In this paper, we explore the role belonging might play in narrowing the gap between how social inclusion is theorised and how it is experienced. Drawing on critical disability and feminist relational theories, we outline a relational conceptualisation of belonging and use it to 'crip' the construct of social inclusion. Exploring the synergies and tensions that surface when social inclusion and belonging are held together as discrete but interconnected constructs, we name four conceptual shifts and expansions that allow us to see social inclusion differently. Through the centring of the experiences of people labelled with intellectual and developmental disabilities, we explore the ways belonging can help to reimagine inclusion from assimilationist, static, objective and formal towards inclusion as fluid, negotiated, (inter)subjective, (in)formal and intimate.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.004
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 head0.023
GPT teacher head0.327
Teacher spread0.304 · 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 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

Citations9
Published2022
Admission routes2
Has abstractyes

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