Person-first and identity-first disability language: Informing client centred care
Bibliographic record
Abstract
BACKGROUND: Addressing individuals with a disability can entail the use of person-first (person with a disability) or identity-first language (disabled person). However, there has been debate about use of these terms, yet there is a lack of evidence to inform preference across people with a broad range of health conditions, demographics, or health related factors. METHODS: A 42-item survey measuring demographic and health condition factors, implicit and explicit preference for person-first and identity-first language use was open for completion by individuals with a self-reported health condition between July 7, 2021 and November 30, 2021. Recruitment was undertaken via posts on relevant social media sites and through community support and advocacy organisations. RESULTS: Data analysis included responses from 875 valid surveys. Mean age of participants was 39.7 (SD: 13.7) years. There were 89 (10.2%) male, 637 female (72.8%) and 149 (17.0%) non-binary/other participants. When referring to themselves, participants most often reported use of identity first language (n = 335, 42.2%), followed by person-first language (n = 272, 34.1%), then both interchangeably (118, 23.7%). When referring to others, participants most often used person first language (n = 312, 39.4%), followed by both interchangeably (269, 34.0%), then identity-first language (n = 211, 26.6%). Disability language preference varied across health conditions, with participants with neurodevelopmental conditions most likely to use identity-first language and participants with digestive conditions most often preferencing person-first language. Participants who were younger and of non-binary gender preferred use of identity-first language. Appropriate use of identity-first language was rated significantly higher for people with a disability/health condition and family/friends than for third-party representatives, including healthcare professionals, educators, media and the general public. CONCLUSION: Findings highlight the need to understand health condition and disability language preference in a more nuanced way to promote respectful language use when addressing people in the context of their disability/health condition.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".