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Record W2017671752 · doi:10.1080/03610730902922085

Older Adults and Capacity-Related Assessment: Promise and Caution

2009· article· en· W2017671752 on OpenAlexaffabout
Anne Baird, Stephanie Solcz, Reagan Gale-Ross, Treena Blake

Bibliographic record

VenueExperimental Aging Research · 2009
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of WaterlooUniversity of Windsor
Fundersnot available
KeywordsPsychologyAnxietyAffect (linguistics)ComprehensionConstruct validityConstruct (python library)Clinical psychologyDevelopmental psychologyPsychometricsPsychiatry

Abstract

fetched live from OpenAlex

Data from 30 cognitively intact and emotionally stable Canadian elders provided support for the construct validity of the Hopemont Capacity Assessment Instrument and the Independent Living Scales. Subscale scores in the health or financial domains on these two capacity-related instruments were moderately correlated; weaker correlations were observed between ILS and HCAI subscales tapping discrepant domains. Training in thinking aloud and responding to hypothetical questions did not affect scores on these measures, nor were scores on brief depression and anxiety scales statistically associated with standing on capacity-related measures. Reading comprehension was associated with scores on the Hopemont Capacity Assessment Instrument.

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)0.240
metaresearch head score (Gemma)0.308
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.240
Threshold uncertainty score0.938

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2400.308
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0030.002
Science and technology studies0.0010.008
Scholarly communication0.0040.011
Open science0.0060.003
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0020.002

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 head0.071
GPT teacher head0.496
Teacher spread0.424 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
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

Citations11
Published2009
Admission routes2
Has abstractyes

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