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Record W4399176609 · doi:10.1080/24732850.2024.2359696

The Testament Definition Scale (TDS): Normative Data from the Italian Population and Clinical Usability in Neurodegenerative Diseases

2024· article· en· W4399176609 on OpenAlexaboutno aff
Chiara Gramegna, Valentina Bari, Edoardo Nicolò Aiello, Teresa Difonzo, Stefano Zago, Nadia Bolognini

Bibliographic record

VenueJournal of Forensic Psychology Research and Practice · 2024
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
FundersUniversità degli Studi di Milano-Bicocca
KeywordsNormativeScale (ratio)UsabilityPopulationPsychologyMedicineGeographyPhilosophyEpistemologyComputer scienceEnvironmental healthCartography

Abstract

fetched live from OpenAlex

Ad-hoc forensic instruments have been developed for the contemporaneous or retrospective evaluation of testamentary capacity, among which the Testament Definition Scale (TDS), a short rating scale designed to evaluate and quantify the individual’s capacity to give an exhaustive definition of what a testament is. The aim of the study was to derive Italian normative values for the TDS in an adult sample and to provide preliminary evidence for its usability in neurological patients with cognitive decline. The TDS was administered to 341 healthy subjects of different ages (range= 30–92 years) and educational levels (range= 1–20 years), along with the Montreal Cognitive Assessment (MoCA) and the Frontal Assessment Battery (FAB), and to 6 adults with neurodegenerative diseases. In healthy subjects, TDS scores were associated with MoCA and FAB scores; education was the only significant predictor of TDS scores. In patients with neurodegenerative diseases, TDS scores can dissociate from MoCA and FAB scores. Normative data (cutoff and equivalent scores) for favoring the adoption of the TDS in the assessment of testamentary capacity are here provided.

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)0.004
metaresearch head score (Gemma)0.004
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 score0.347
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
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 integrity0.0000.001
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 head0.261
GPT teacher head0.520
Teacher spread0.259 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

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