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Record W4286750203 · doi:10.1080/09687599.2022.2093698

Promoting inclusive innovation for disabled people in four countries: who does what and why?

2022· article· en· W4286750203 on OpenAlexafffund
Dan Breznitz, Amos Zehavi

Bibliographic record

VenueDisability & Society · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsUniversity of TorontoCanadian Institute for Advanced Research
FundersLupina FoundationIsrael Science FoundationCanadian Friends of Tel Aviv University
KeywordsDisabled peopleInclusive developmentPsychologySociologyBusinessEconomic growthEconomicsLife styleApplied psychology

Abstract

fetched live from OpenAlex

Disability policy is often characterized as comprising three different components: citizenship rights, labor market integration and social protection. In this study, we present a fourth component – disability-related innovation. Specifically we analyze two critical interrelated questions: what governments do to guide innovation in this area; and do patterns of greater government disability policy involvement in social-democratic welfare states apply in the case of innovation? Utilizing a qualitative comparison of Germany, Israel, Sweden and the United States, we find that while policy across all countries is at first glance decisively similar, the important differences that exist cannot be satisfactorily explained within the classical welfare state typology framework. Countries that are leaders in terms of social support for disabled people – Germany and Sweden – are not necessarily leaders in disability-related innovation. This is particularly noticeable in the case of programs for support of Assistive Technology development.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
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 head0.035
GPT teacher head0.358
Teacher spread0.323 · 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 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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