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Record W4298367626 · doi:10.51952/9781447314431.ch007

Older people’s substance use

2012· book-chapter· en· W4298367626 on OpenAlexaboutno aff
Sarah Galvani

Bibliographic record

VenuePolicy Press eBooks · 2012
Typebook-chapter
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsSubstance usePsychologyPsychiatry

Abstract

fetched live from OpenAlex

Barrie was admitted to hospital following seizures. He was referred to the hospital social work team by the ward staff, due to his evident self-neglect and in the hope of finding him support to improve his health and hygiene. A social work assessment found that Barrie lives at home with his wife but has started to live and sleep only in the living room. His personal hygiene and health are poor. He has very limited mobility and is often unable to get on and off the sofa. Barrie’s wife, Anne, is his main carer. He has two sons, one of whom has no contact with him. Anne has also suffered serious health problems and is unable to cope, particularly when Barrie is abusive to her. He also keeps her awake at night by shouting. Barrie has refused services in the past. His seizures and other health problems are thought to be related to his heavy drinking and smoking. Barrie says that he has always drunk and is not going to stop, although he promised to cut down when he left hospital. There is a suspicion that he suffers from depression alongside his heavy drinking. Michael is single and has no children. He has been accessing services for a long time for his heroin use. He has a history of polydrug use, including benzodiazepines. He is currently using cannabis as well as heroin. He is struggling to support his drug use financially and has presented to services asking for methadone. His brother, who is also a drug user, has been taken back into prison.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.082
GPT teacher head0.303
Teacher spread0.221 · 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 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
Published2012
Admission routes1
Has abstractyes

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