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Record W4410027778 · doi:10.22329/csw.v25i2.8362

Situational Analysis of Mental Health Challenges in Sierra Leone: Possible Roles of Social Workers

2024· article· en· W4410027778 on OpenAlexvenueno aff
Sylvester Amara Lamin

Bibliographic record

VenueCritical Social Work · 2024
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsSierra leoneSituational ethicsMental healthSituation analysisEnvironmental healthPsychologySociologySocioeconomicsBusinessMedicineSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Since the rebel war in Sierra Leone ended in 2002, there has been an extraordinary increase in international non-governmental organizations that aid people. One such area is mental health. However, both the government and NGOs use the medical model for intervening in mental health and mental illness. Therefore, this research was a documentary analysis of the World Health Organization Mental Health Atlas of 2020: Country Profile. The report states that there are no social workers who provide help to people diagnosed with mental illness. So, this research brings to the fore some of the significant roles that clinical and mental health social workers can provide. The research is a move away from the pathological focus on mental health and discusses the sociological and biopsychosocial intervention by social workers.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.060
GPT teacher head0.447
Teacher spread0.387 · 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 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
Published2024
Admission routes1
Has abstractyes

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