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Record W7097601087

of Social Welfare

2011· article· en· W7097601087 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsSocial workSocial WelfareWelfareWork (physics)Life course approachSocial positionSocial determinants of healthQuality (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

ii Health Social Workers engage with people, including the healthy and chronically ill, across the ages and stages of life from conception to death. They encounter diverse client-related issues in their day-to-day practice. The Health Social Worker’s role includes assisting clients and their families/whānau to be self-sufficient and cope with the personal, family and/or social effects of life changes due to ill health and disability. Social Work Associations and regulatory bodies from the United Kingdom, United States, Canada, Australia and New Zealand have developed practice standards and competency frameworks within which common themes can be identified. Competencies within social work can be described as multidimensional dynamic concepts that require social workers to have the appropriate knowledge, attitudes and observable technical skills to perform their role effectively and efficiently; that is, social workers need to have the ability to carry out the professional tasks and responsibilities that define social work scopes of practice. Thus, competencies are determined by the quality of service, training,

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.814
Threshold uncertainty score0.623

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0050.002
Open science0.0010.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.1860.044

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 head0.087
GPT teacher head0.384
Teacher spread0.297 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2011
Admission routes1
Has abstractyes

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