MétaCan
Menu
Back to cohort

Model of Successful Corporate Culture Change Integrating Employees with Disabilities

2017· book-chapter· en· W2751267567 on OpenAlexfundno aff
Douglas Waxman

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsnot available
FundersGlobal Affairs CanadaEuropean CommissionYork UniversityGovernment of Canada
KeywordsMisinformationWorkforceOrganizational culturePublic relationsCorporate social responsibilityOrder (exchange)MythologyBusinessPsychologyPolitical science

Abstract

fetched live from OpenAlex

Abstract Purpose The purpose of this chapter is to survey and synthesis the literature on: (1) myths and misinformation about persons with disabilities that create attitudinal barriers to employment, (2) best practices in employing persons with disabilities, (3) the business case for hiring persons with disabilities and (4) corporate social responsibility and disability, in order to distill a model for changing corporate culture for successfully integrating employees with disabilities into an organizations workforce. Methodology/approach An extensive review of the above mentioned literature is synthesized and distilled into a model. Findings The review indicates a number of best practices to be implemented in order to successfully integrate employees with disabilities into the workforce. These factors have been synthesized into a model to guide employers in affecting corporate cultural change to address the integration of person with disabilities into the organization. Practical implications A systematic approach to integration of employees with disabilities, informed by the significant business logic for doing so. Originality/value The chapter provides an extensive survey of the literature on disability employment and highlights attitudinal barriers to employing persons with disabilities, the business case and social responsibility case for employing persons with disabilities, the best practices for success and synthesizes these factors into an original model to guide business in cultural change making.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.410
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.193
GPT teacher head0.350
Teacher spread0.157 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations15
Published2017
Admission routes1
Has abstractyes

Explore more

Same topicDisability Education and EmploymentFrench-language works237,207