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Record W4412696131 · doi:10.1177/10398562251363005

Psychiatrist supply and demand projections from the Department of Health, Disability and Ageing – The map is not the territory

2025· editorial· en· W4412696131 on OpenAlexaff
Jeffrey CL Looi, Stephen Allison, Tarun Bastiampillai, Steve Kisely, Luke Sy‐Cherng Woon

Bibliographic record

VenueAustralasian Psychiatry · 2025
Typeeditorial
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsDalhousie University
Fundersnot available
KeywordsWorkforceCompendiumContext (archaeology)Baseline (sea)Workforce developmentWorkforce planningSupply and demandPlan (archaeology)BusinessPsychologyMedicineGerontologyPolitical scienceEconomic growthEconomicsGeography

Abstract

fetched live from OpenAlex

On 19th June 2025, the federal Department of Health, Disability and Ageing released the Psychiatry Supply and Demand Compendium report, 1 which provides modelled calculations of baseline and projected Australian psychiatrist workforce levels and needs. These models suggest a substantial undersupply. The supply of domestic trainees and overseas-trained psychiatrists merits further study. Career pathways, succession planning, and leadership development need attention. This editorial discusses the implications of the report, by examining the methodology, 2 current workforce context, and identifying areas that merit further research. The report projects supply and demand, and needs to be considered in the development of a workforce plan.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
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 score0.218
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.004
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 head0.018
GPT teacher head0.385
Teacher spread0.366 · 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
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

Citations0
Published2025
Admission routes1
Has abstractyes

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