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Record W4411632917 · doi:10.1111/jppi.70013

Quality of Life as a Paradigm With Multiple Applications in the Field of Intellectual and Developmental Disabilities

2025· article· en· W4411632917 on OpenAlexaff
Ivan Brown, Roy I. Brown, Meaghan Edwards, A. Schippers

Bibliographic record

VenueJournal of Policy and Practice in Intellectual Disabilities · 2025
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsUniversity of CalgaryUniversity of VictoriaBrock University
Fundersnot available
KeywordsField (mathematics)Intellectual disabilityPsychologyQuality (philosophy)Quality of life (healthcare)Developmental psychologyGerontologyMedicinePsychiatryPsychotherapistEpistemology

Abstract

fetched live from OpenAlex

ABSTRACT This paper sets out an argument for conceptualizing quality of life as a useful paradigm in the field of intellectual and developmental disabilities. In doing so, it addresses the core elements of a paradigm as it is generally understood in scientific circles. The ideological and theoretical roots of quality of life are centered around core values, are closely connected to social constructs that have developed over time, are currently widely accepted in our field, and are supported by numerous laws, policies, and conventions. The meaning of quality of life as a paradigm is explained. One core premise of a paradigm is that its ideological and theoretical base should be usefully applied in current social contexts. This paper argues that the overall objective of improving quality of life for people living in their own contexts may be pursued through numerous application frameworks, each of which may have numerous specific application strategies that are best suited to the specific “quality” objectives being sought within specific contexts. For this reason, exemplary application frameworks and more specific application strategies are presented, and a case is made for ensuring that their outcomes are both achievable and positive. This, then, constitutes a new and broader understanding of quality of life as more than a useful social construct or a system of measurement, but rather as the overall thrust behind everything we do in our field and that may be realized in multiple ways. A summary figure is provided.

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)0.002
metaresearch head score (Gemma)0.614
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score0.602

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.614
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.066
GPT teacher head0.426
Teacher spread0.360 · 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 designQualitative
Domainnot available
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

Citations4
Published2025
Admission routes1
Has abstractyes

Explore more

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