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Record W4405365136 · doi:10.1080/09687599.2024.2435418

Critical networks: Embedding programmes for individuals with intellectual impairments in university contexts in Chile, Ireland and Australia

2024· article· en· W4405365136 on OpenAlexaff
Denise de Souza, Zelinna Pablo, Debashis Sarker, Maria Theresa von Fürstenberg, Alejandra Rios Urzua, Des Aston, Jennifer Banks, Donatella Camedda, Michael Shevlin

Bibliographic record

VenueDisability & Society · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsTrinity College
FundersNational Disability Insurance Agency
KeywordsEmbeddingSociologyRegional scienceEconomic geographyEconomic growthPolitical sciencePsychologyGeographyComputer scienceEconomics

Abstract

fetched live from OpenAlex

This paper focuses on post-secondary programmes for individuals with intellectual impairments within university settings in Chile, Ireland, and Australia. Actor-Network Theory (ANT) is adopted to explain how programmes are developed and sustained through relationships between human and non-human actors. Findings show that for all the university embedded programmes, parent-actors initiated network development. These different programmes were then sustained by other actor-networks, each with its distinct emphasis. In the Chilean network, the university’s strong, dynamic support made it a catalyst and social change leader in higher education inclusion across employers and broader society In the Irish network, a strong university actor drove extensive relationships with community and employers who also provided training support. In the Australian network, government played a key role, shaping networks through compliance and funding requirements. These findings contribute to the sustainable development efforts of future programmes.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.031
GPT teacher head0.369
Teacher spread0.338 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2024
Admission routes1
Has abstractyes

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