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Record W3040507999 · doi:10.1177/1039856220937646

Portents from Orwell’s <i>1984</i> : Bureaucracies, Ministries of Truth and Plenty – challenges facing the administration of mental healthcare in Australia

2020· article· en· W3040507999 on OpenAlexaff
Jeffrey CL Looi, Stephen Allison, Steve Kisely, Paul A Maguire

Bibliographic record

VenueAustralasian Psychiatry · 2020
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMental healthcareAdministration (probate law)General partnershipBureaucracyMental healthGeorge (robot)Public administrationHealth carePolitical scienceHealth administrationNursingMedicinePublic relationsSociologyPoliticsLawPsychiatryHistory

Abstract

fetched live from OpenAlex

Objective: We reflect upon the processes of mental health administration in Australia with reference to George Orwell’s novel, 1984. Conclusions: Mental healthcare in Australia is distorted by politicisation, spin and a refusal to acknowledge the reality of the current situation. These challenges for mental healthcare demonstrate some similarities with the Ministries of Truth and Plenty, which conversely performed as their opposites in Orwell’s novel. Psychiatrists and their professional bodies should play a greater role in advocacy for clinician-led, evidence-based services in partnership with our communities.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.084
Threshold uncertainty score0.741

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.096
GPT teacher head0.389
Teacher spread0.293 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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