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Record W3093731072 · doi:10.23977/aetp.2020.41018

The Enlightenment of social model of disability on the formulation of employment policy for the disabled----Take China's disabled employment policy as an example to analyse

2020· article· en· W3093731072 on OpenAlex
Dingxuan Xiang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAdvances in Educational Technology and Psychology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsSocial model of disabilityLegislationEnforcementMedical model of disabilityGovernment (linguistics)Social policyChinaSocial insuranceDisability insuranceDisabled peopleSocial securityPolitical sciencePublic economicsEconomicsSociologyPsychologyLaw

Abstract

fetched live from OpenAlex

This article introduced China’s leading employment policy for the disabled at first. And then, based on the analysis of the difference between the medical and social model of disability, the transformation from medical to social model of disability in legislation in US and UK were summarized, and the advantages of the social model of disability were admitted in guiding the employment legislation for the disabled. Furthermore, from the perspective of the social model of disability, this article summarized the problems behind the employment policy for the disabled in China and the according enlightenments were put forward. Firstly, China’s government should consider integrating social model in policy-making on the basis of its own situation. To be specific, the formulation of policies should not only focus on the injured individuals, but also pay more attention to the structural barriers in the society that the disabled have suffered. The new objective of those policies should aim at eliminating social oppression and discrimination that widely exist in the modern world. Secondly, China should further optimize the policies without the regulations for the reward or the punishment, so as to enhance the prestige of the policies. Finally, the enforcement mechanism should also be improved to a large extent, therefore truly contributing to the implement of employment policy for the disabled.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
Threshold uncertainty score0.705

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.148
GPT teacher head0.485
Teacher spread0.337 · 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