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Record W1551125755 · doi:10.1177/215416470203700308

The 1983 AAMR Manual, the 1992 AAMR Manual, or the Developmental Disabilities Act: Which do Researchers Use?

2002· article· en· W1551125755 on OpenAlexaff
Carole Conyers, Toby L. Martin, Garry L. Martin, Dickie Yu

Bibliographic record

VenueEducation and training in mental retardation and developmental disabilities · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPsychologyDevelopmental psychologyPsychotherapist

Abstract

fetched live from OpenAlex

We examined Participants' sections of all research articles published in four journals, from 1993 through 2001, to determine how the authors described participants in research in mental retardation. Approximately two-thirds of research articles during that period have consistently described participants by the diagnostic categories (mild, moderate, severe, and profound) from the 1983 AAMR diagnostic manual (Grossman, 1983). An average of 10% of research articles described participants in terms of the 1992 AAMR manual (Luckasson et al., 1992), which eliminated the diagnostic categories of the 1983 manual. Only an average of 4% of research articles described participants as persons with a developmental disability. Possible reasons for these trends are discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.222
metaresearch head score (Gemma)0.537
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.778
Threshold uncertainty score0.960

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2220.537
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0400.043
Science and technology studies0.0070.011
Scholarly communication0.0130.019
Open science0.0050.007
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0090.005

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 head0.155
GPT teacher head0.386
Teacher spread0.231 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designObservational
DomainMethods
GenreEmpirical

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

Citations3
Published2002
Admission routes1
Has abstractyes

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