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Record W7047886259

'It's just my home, you know?' Home-making and Belonging for People Labelled/with Intellectual Disability

2022· dissertation· en· W7047886259 on OpenAlexaboutno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2022
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingAgency (philosophy)Ideal (ethics)Intellectual disabilityConvention on the Rights of Persons with DisabilitiesPopulationDisability studiesConventionThe arts
DOInot available

Abstract

fetched live from OpenAlex

This master’s thesis research focuses on the experiences of people labelled/with intellectual disability in their current homes and also what they want for their future home. Few studies in Canada have focused on specifically asking this population what their ideal home looks like and acknowledging the gap between this and what their reality is. Advocacy groups in Canada and the United Nations Convention on the Rights for Persons with Disabilities have been calling for years to better address the rights of people with disabilities and their place in the community, yet there has been little progress within Ontario towards this. Using semi-structured interviews and an arts workshop, participants were asked to think about what their life is like now and what their aspirations are for their future. The research is based on a relational model of home as more than just a physical structure and expands the definition to include the neighbourhood, relationships, and support that participants experience, which shape their home and their feelings of belonging inside and outside of it. Findings show that, while there were opportunities for agency within their homes and relationships, there are many restrictions to attaining their ideal home, including funding constraints, long wait lists, and few choices for what type of housing they receive. The findings of this study have important implications for ideas of belonging and processes of home-making within geographic research, as well as for future policy based on housing for people labelled/with intellectual disabilities in Ontario.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0560.000

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 head0.016
GPT teacher head0.260
Teacher spread0.244 · 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 teacher head, not a consensus.

Study designOther design
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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

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