Quality of Life: Its Application to Persons With Intellectual Disabilities and Their Families—Introduction and Overview
Bibliographic record
Abstract
Abstract The authors provide an overview of quality of life (QoL) conceptualization in the field of intellectual disabilities (ID), provide background information, and set an organizing framework for presenting concepts and concrete ideas for applying QoL. This framework is useful for three broad categories of application in the field of ID that form the application of QoL to individuals, groups of individuals, and to families. QoL thus can be used as a sensitizing notion that gives a sense of reference and guidance from the individual's perspective, focusing on the person and the individual's environment and provides a framework for conceptualizing, measuring, and applying the QoL construct. The applications also frame evaluation strategies for QoL research. The authors conclude that there is a need to identify relevant QoL evidence from the literature in a proactive way, and to ensure that it is methodologically sound, provides both quantitative and qualitative data, represents inter‐ and intra‐individual variability, and illustrates changes over both the lifespan and across cultural settings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".