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Record W2327918660 · doi:10.7748/ns.29.22.44.e9250

Community mental health initiatives in Pakistan

2015· article· en· W2327918660 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNursing Standard · 2015
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsUniversity of Alberta
FundersUniversity of Huddersfield
KeywordsMental healthPsychologyPolitical scienceNursingMedicinePsychiatry

Abstract

fetched live from OpenAlex

AIM: To identify mental health needs in local communities, and provide and evaluate nurse-led services to promote community mental health in Karachi, Pakistan. METHOD: Using an action research approach, mental health nurses implemented activities to promote mental health and psychiatric rehabilitation in 15 urban communities in Karachi. The activities were planned and implemented in collaboration with a community-based social welfare organisation. FINDINGS: Community mental health interventions were implemented by a multidisciplinary team including nursing educators and postgraduate nursing students. Positive transformation of the mental health of clients in the community was found. CONCLUSION: The challenges in identifying, diagnosing and rehabilitating clients with mental health needs in the community in Pakistan is acknowledged, and the benefits of enhanced support for clients and their families provided by community mental health nurses are described.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score0.483

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.110
GPT teacher head0.506
Teacher spread0.396 · 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