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Record W4367335547 · doi:10.15453/0191-5096.4307

Journal of Sociology and Social Welfare Vol. 46 No. 2

2019· article· en· W4367335547 on OpenAlexfundno aff
John S. Thompson, St Ambrose, Richard Spano, Terry L. Koenig, Dag Leonardsen, Yu‐Ling Chang, Zi Yang, Margaret Ralston, Karen Cummings-Lilly, Stephen M. Marson

Bibliographic record

VenueThe Journal of Sociology & Social Welfare · 2019
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsnot available
FundersNational Institute on Minority Health and Health DisparitiesMississippi State UniversityAmbrose UniversityWashington State UniversityNorris Cotton Cancer CenterWashington State Department of Social and Health Services
KeywordsSociologyWelfareSocial scienceEconomicsMarket economy

Abstract

fetched live from OpenAlex

Social work has experienced unique tensions related to its professional identity and dual purpose of social reform and individualized treatment.Scholars have represented this dual purpose, epitomized by Jane Addams and Mary Richmond, as indicating irreconcilable differences.The purpose of this paper is to investigate the writings and speeches of Mary Richmond and Jane Addams, and, based on this inquiry, to assert that their respective approaches to social work are much more unified than often suggested.Specific themes examined include: acceptance and need for each other's perspectives; compatibility and unity of perspectives; and their collaboration as critical for effecting social change.With this more complex understanding of Richmond and Addams, the authors speculate about how a more holistic approach to social work practice is needed in the 21st century.

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)0.005
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.961
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0080.016
Scholarly communication0.0140.004
Open science0.0010.007
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0390.005

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 head0.077
GPT teacher head0.417
Teacher spread0.340 · 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
Published2019
Admission routes1
Has abstractyes

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