Ethical Dilemmas of Disability Inclusion—Emerging Ethics of Activism and Care: Introduction to the Special Issue
Bibliographic record
Abstract
Background and ContextThe International Labor Organization (ILO) estimates that 386 million of the world's working-age people have some kind of disability (ILO, 2024).This is only a fraction of the 1.3 billion people currently identifying as disabled (United Nations Department of Economic & Social Affairs, 2024).Disabled people live, learn, self-advocate and are entrepreneurs.By interacting with others who often lack first-person experiences of disability, they influence a wide range of social norms.Employment is a fundamental human right, yet with unemployment among disabled people reaching as high as 80% in some countries or for certain disabilities, disability advocates have long fought against the systemic barriers that deny this right.(Keen & Oulton, 2009;Lovegood & Dorado, 2025; United Nations Department of Economic & Social Affairs, 2024).For instance, taking stock of progress over the five decades since the passage of the US Rehabilitation Act in 1973, (Schur et al., 2024) conclude that people with disabilities still face significant employment disparities with an employment rate of 37.1% in 2023 compared to 75.0% for those without disabilities.Furthermore, they show that disabled people earn 15% less on average, are twice as likely to live in poverty, and often encounter workplace discrimination, lack of support, lower job security, and precarious work conditions.The latest United Nations' Flagship Report on Disabilities and Development (2024) concludes that disabled people have been left behind and that progress is insufficient and, in some cases, has stagnated or reversed.Aspects of life such as identity, self-representation, and voice often demand significant additional personal investment-of effort, energy, and emotion-from disabled individuals (Branzei & Zeyen, 2025a;Zeyen & Branzei, 2023).Aspects of life such as identity, self-representation, and voice often demand significant additional personal investment-of effort, energy, and emotion-from disabled individuals (Watermeyer & Swartz, 2024).uch discrimination is often discussed under the umbrella of ableism-bias against disabled people rooted in a preference for normative, nondisabled bodies and minds (Campbell, 2009;Wolbring, 2008); or disableism-the systemic exclusion of disabled people through institutional structures and practices (Goodley, 2013;Miller et al., 2004;Wolbring, 2008).Against this backdrop, two emerging areas of inquirythe intersectionality of disabled people (Wolbring & Nasir, 2024) and the equity, diversity and inclusion of disabled people (Wolbring & Lillywhite, 2021)-are increasingly being examined through the lenses of ableism and disableism, offering new insights into how discrimination operates and how it might be dismantled within management and organization studies.The call for papers for this special issue (Zeyen et al., 2022) was motivated by the enduring discrepancy between the state of the world and the state of the field in management *
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".