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Record W2071725905 · doi:10.1080/00048670701332284

Early Psychosis in Rural Areas

2007· review· en· W2071725905 on OpenAlexaff
Mark Welch, Twilla Welch

Bibliographic record

VenueAustralian & New Zealand Journal of Psychiatry · 2007
Typereview
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsGlenrose Rehabilitation HospitalUniversity of Alberta
Fundersnot available
KeywordsPsychosisRural areaEarly psychosisPsychologySystematic reviewPsychiatryService delivery frameworkMedicineService (business)MEDLINEPolitical scienceBusiness

Abstract

fetched live from OpenAlex

Early psychosis (EP), in which the terms first-episode psychosis or first-break psychosis are also considered, is an area of developing research intensity. Although it is apparent that considerable progress has been made in establishing best practice criteria and protocols for EP in general, the particular issues pertaining to rural areas have not received the same attention. The purpose of the present study was to conduct a systematic review of the literature of early psychosis programmes, initiatives and research in rural areas in order to help establish the best available evidence. The authors conducted a systematic search of major electronic databases, based on the NHMRC hierarchy of evidence, an established scale, for identified early psychosis cross-referenced with multiple rural terms, between the years 1995 and 2005. A total of 637 articles met the initial search criteria; 206 were identified as having primary significance; three dealt specifically with rural areas. There is a paucity of research findings or published literature concerning the specific needs or characteristics of early psychosis practice or service delivery in rural areas. A number of inferences and suggestions for further research, investigations and policy directions are put forward for consideration.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.829
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.058
GPT teacher head0.388
Teacher spread0.329 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations16
Published2007
Admission routes1
Has abstractyes

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