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Record W1987761177 · doi:10.1177/1468017313503449

Subjective well-being, social work, and the environment: The impact of the socio-political context of practice on social worker happiness

2013· article· en· W1987761177 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

VenueJournal of Social Work · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSocial workPoliticsHappinessQualitative researchContext (archaeology)Social environmentPublic relationsFocus groupWelfareSociologySocial psychologyPsychologyPolitical scienceSocial scienceGeography

Abstract

fetched live from OpenAlex

Summary The environmental context of direct social work practice has been found to impact social worker subjective well-being. Most research focus on the geographic and cultural characteristics of that practice environment. To expand this knowledge domain a qualitative inquiry has been undertaken to understand what aspects of the socio-political environment impacted social worker well-being. Findings This qualitative study, with a sample of social workers ( n = 19), found three themes related to the socio-political environment that can contribute to practitioner well-being. Respondents identified that their subjective well-being is impacted by: (1) perceptions of practitioners by community members, (2) conflict with social work program mandates, and (3) changes with the social welfare system. Applications Possible methods of addressing these issues to improve workplace functioning for social workers are discussed along with areas of future research.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.549
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0050.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.338
Teacher spread0.318 · 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