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Record W1986724195 · doi:10.1080/02699050301828

Community integration: a useful construct, but what does it really mean?

2003· article· en· W1986724195 on OpenAlex

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

VenueBrain Injury · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsQueen's University
Fundersnot available
KeywordsCommunity integrationVarimax rotationConstruct (python library)PsychologySocial integrationConstruct validityPerceptionQuality (philosophy)Quality of life (healthcare)Applied psychologySocial psychologyPsychometricsClinical psychologyComputer scienceSociologyMedicineCronbach's alpha

Abstract

fetched live from OpenAlex

The primary objective of this paper is to contribute to a clearer understanding of the construct of community integration. Rehabilitation literature is discussed in relation to three measures of community integration: the AIMS Interview, Community Integration Measure and Community Integration Questionnaire. Results of a principal components analysis with varimax rotation indicated that the measures are independent and coherent. Significant correlations were not found between total scores on the three measures and problem behaviour or quality of life. However, analysis of individual items on the scales yielded one significant correlation between the first item on the Community Integration Measure (i.e. sense of belonging) and quality of life. The need for a clear statement in future research regarding the definition of community integration is emphasized, and inclusion of both subjective perceptions and objective indicators of community integration is recommended.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.681
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.036
GPT teacher head0.356
Teacher spread0.319 · 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