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Record W2063963680 · doi:10.1017/s104161020999010x

An integrated model for defining the scope of psychogeriatrics: the five Cs

2009· editorial· en· W2063963680 on OpenAlexaff
Joel Sadavoy

Bibliographic record

VenueInternational Psychogeriatrics · 2009
Typeeditorial
Languageen
FieldPsychology
TopicPsychiatric care and mental health services
Canadian institutionsMount Sinai HospitalUniversity of Toronto
Fundersnot available
KeywordsScope (computer science)Context (archaeology)Field (mathematics)SpecialtyConceptual modelService (business)PsychologyManagement scienceComputer scienceProcess managementEngineeringBusinessPsychiatry

Abstract

fetched live from OpenAlex

Psychogeriatrics is a specialty defined by its many contrasts and complexities. Over-reliance on biological models sometimes artificially narrows the breadth and content of psychogeriatric research, educational programs, service delivery and management models to the detriment of patient care. This guest editorial proposes a conceptual model that defines the scope of the field and provides a structure that overlays standard approaches to diagnosis and formulation. Five key defining elements of psychogeriatrics – the five “Cs” – are explored: complexity, chronicity, comorbidity, continuity and context.

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)0.011
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.011
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.024
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0020.008
Scholarly communication0.0070.009
Open science0.0040.002
Research integrity0.0100.028
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 head0.017
GPT teacher head0.384
Teacher spread0.367 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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

Citations30
Published2009
Admission routes1
Has abstractyes

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