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Record W2787595647

The global functioning evaluation: Kennedy Axis V compared with WHODAS 2.0

2014· article· en· W2787595647 on OpenAlexfundno aff
Fabio Madeddu, L Bonalume, S Dainese, Ilaria Maria Antonietta Benzi

Bibliographic record

VenueBOA (University of Milano-Bicocca) · 2014
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsnot available
FundersMasarykova UniverzitaMinisterio de Ciencia y TecnologíaAgentúra na Podporu Výskumu a VývojaUniversity of Cape TownNational Research FoundationUniversité du Québec à MontréalEuropean CommissionMinisterio de Economía y CompetitividadMinisterstvo školstva, vedy, výskumu a športu Slovenskej republikySlovenská Akadémia ViedUniversité du Luxembourg
KeywordsPsychology
DOInot available

Abstract

fetched live from OpenAlex

The study aims to compare psychometric properties and clinical utility of Kennedy Axis V (K Axis) and 12-items version of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0), a comparable version of the 36-items one included in DSM-5, comparing them with other significant instruments for the assessment of personality. A sample of 25 clinical inpatients of a therapeutic community in Northern Italy was assessed with different tools: K Axis, WHODAS 2.0, IPO, SCL-90-R and SIPP-118. K Axis showed low internal consistency, unlike WHODAS 2.0. Moreover, significant correlations were found between both WHODAS 2.0 and K Axis and IPO and SIPP-118. However, no significant correlations emerged between K Axis and WHODAS 2.0. Even if further investigation will be needed, such as the increase of the sample and the update of the WHODAS version, K Axis and WHODAS 2.0 has proven to be useful tools for the evaluation of global functioning; however, while WHODAS is more consistent from a psychometric point of view, K Axis presents a multidimensional view of the functioning of the patient.

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)0.000
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 score0.233
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.024
GPT teacher head0.255
Teacher spread0.231 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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