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Record W121189761 · doi:10.1093/pch/17.2.71

What’s in a name? Attitudes surrounding the use of the term ‘mental retardation’

2012· article· en· W121189761 on OpenAlex
Chris Nash, Ann Hawkins, Janet Kawchuk, Sarah Shea

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePaediatrics & Child Health · 2012
Typearticle
Languageen
FieldMedicine
TopicMedical and Biological Sciences
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsTerminologyTerm (time)Mental healthPsychologyPsychiatryMedicineMedical educationFamily medicineLinguistics

Abstract

fetched live from OpenAlex

Over the past 200 years, there have been periodic shifts in the terminology used to describe what is still most commonly referred to in the medical world as 'mental retardation'. There are differing opinions about the acceptability of the term, but very little existing evidence on which clinicians can base their decisions regarding what terminology to use with patients and families, and with one another. The present survey of parents and professionals used questions based on paper-based clinical scenarios to survey each group's attitudes about terminology usage. The results of both the parent and professional surveys support a move away from the use of the term mental retardation. The majority of parents indicated that they would be upset if a physician used the term mental retardation. Some professionals reported being criticized for using the term. Teaching about terminology has been variable.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.143

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.084
GPT teacher head0.333
Teacher spread0.249 · 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