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Record W3121076422 · doi:10.15353/cjds.v9i5.702

Cultivating Disability Leadership: Implementing a Methodology of Access to Transform Community-based Learning

2020· article· en· W3121076422 on OpenAlexafffundvenue
Fady Shanouda, Michelle Duncanson, Alanna Smyth, Mah-E-Leqa Jadgal, Maureen O’Neill, Karen Yoshida

Bibliographic record

VenueCanadian Journal of Disability Studies · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsToronto Rehabilitation InstituteUniversity of Toronto
FundersOntario Trillium Foundation
KeywordsTransformative learningScholarshipInterdependenceWork (physics)SociologyPedagogyPublic relationsPolitical scienceSocial scienceEngineering

Abstract

fetched live from OpenAlex


 
 
 In this paper, we describe a methodology of access developed and applied during a three-year project in the Niagara region focused on cultivating the next generation of disability leaders. We describe the theoretical approach to the project and highlight the significance of doing this work in Niagara. A literature review of adult, transformative, and community-based learning scholarship revealed that little research or writing has focused on describing a thorough approach to access in transformative projects in community-based settings. Writing with two participants from the study, we elaborate on the five dimensions of our approach: 1) funding; 2) local and focused; 3) intimate, relational, and interdependent; 4) curating access, and 5) welcoming disruption. We also describe the tensions in taking on this work. We conclude with an invitation to scholars, community groups, and organizations to consider integrating our methodology in their next research project.
 
 

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)0.005
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.656
GPT teacher head0.408
Teacher spread0.248 · 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 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

Citations2
Published2020
Admission routes3
Has abstractyes

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