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Record W2087826143 · doi:10.1300/j018v23n03_07

Goal Attainment Scaling (GAS) in Relation to the Global Assessment of Functioning (GAF) Scale in Functional Disorders and Organic Disorders in Psychogeriatric Inpatients

2001· article· en· W2087826143 on OpenAlexaff
John R. Reddon, Natalie D. Dautovich, Christine A. North

Bibliographic record

VenueClinical Gerontologist · 2001
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsUniversity of Alberta HospitalAlberta Hospital Edmonton
Fundersnot available
KeywordsGlobal Assessment of FunctioningGoal Attainment ScalingPsychologyFunctional impairmentInternal medicinePhysical therapyPsychiatryMedicineRehabilitationCognition

Abstract

fetched live from OpenAlex

Abstract Goal Attainment Scaling (GAS) and the Global Assessment of Functioning (GAF) scale were used with 70 Functional Disorders (mean age = 74.0 years) and 58 Organic Disorders (mean age = 79.2 years) psychogeriatric inpatients to evaluate treatment outcome; 48.6% of the Functional Disorders patients were discharged home whereas 81.0% of the Organic Disorders patients were discharged to long-term/ continuing care facilities. Mean admission (32.8 versus 18.6), discharge (60.4 versus 29.6), and GAF change scores (27.5 versus 10.9) differed significantly between the two groups of patients, with the Functional Disorders patients obtaining higher scores on all 3 GAF measures. Mean number of GAS goals (2.7 versus 2.6) and mean GAS T-score (50.8 versus 48.8) did not differ between patient groups. The GAF admission score was not significantly correlated with the GAS T-score in either the Functional Disorders or Organic Disorders patient groups but both the GAF change score (r = .30 and .41, respectively) and the GAF discharge score (r = .33 and .30, respectively) were significantly correlated with the GAS T-score.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.366
Teacher spread0.334 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2001
Admission routes1
Has abstractyes

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