Journal of Sociology & Social Welfare Vol. 40, No. 4 (December 2013)
Bibliographic record
Abstract
REDEFINING SOCIAL WELFARE: CONNECTIONS ACROSS SPECIES TABLE OF CONTENTS INTRODUCTION TO THE SPECIAL ISSUE: REDEFINING SOCIAL WELFARE: CONNECTIONS ACROSS SPECIES - Christina Risley-Curtiss HUMAN CONSEQUENCES OF ANIMAL EXPLOITATION: NEEDS FOR REDEFINING SOCIAL WELFARE - Atsuko Matsuoka and John Sorenson THE IMPACT OF COMPANION ANIMALS ON SOCIAL CAPITAL AND COMMUNITY VIOLENCE: SETTING RESEARCH, POLICY AND PROGRAM AGENDAS - Phil Arkow RELATIONAL ECOLOGY: A THEORETICAL FRAMEWORK FOR UNDERSTANDING THE HUMANANIMAL BOND - Jennifer M. Putney CHILDREN'S IDEAS ABOUT THE MORAL STANDING AND SOCIAL WELFARE OF NON-HUMAN SPECIES - Gail F Melson EXPANDING THE ECOLOGICAL LENS IN CHILD WELFARE PRACTICE TO INCLUDE OTHER ANIMALS - Christina Risley-Curtiss CROSS-REPORTING OF INTERPERSONAL VIOLENCE AND ANIMAL CRUELTY: THE CHARLOTTE PROJECT - Dennis D. Long and Shanti J. Kulkarni ENVIRONMENTAL BELIEFS AND CONCERN ABOUT ANIMAL WELFARE: EXPLORING THE CONNECTIONS - Catherine A. Faver INSTITUTIONALIZING HARM IN TENNESSEE: THE RIGHT OF THE PEOPLE TO HUNT AND FISH - Lois Presser and Jennifer L. Schally SHELTER FROM THE STORM: COMPANION ANIMAL EMERGENCY PLANNING IN NINE STATES - Jessica J. Austin "LEADS" TO EXPANDED SOCIAL NETWORKS, INCREASED CIVIL ENGAGEMENT AND DIVISIONS WITHIN A COMMUNITY: THE ROLE OF DOGS - Catherine Simpson Bueker 211 HUMANS' BONDING WITH THEIR COMPANION DOGS: CARDIOVASCULAR BENEFITS DURING AND AFTER STRESS - Rebecca A. Campo and Bert N. Uchino ATTACHMENT, SOCIAL SUPPORT, AND PERCEIVED MENTAL HEALTH OF ADULT DOG WALKERS: WHAT DOES AGE HAVE TO DO WITH IT? - F. Ellen Netting, Cindy C. Wilson, Jeffrey L. Goodie Mark B. Stephens, Christopher G. Byers, and Cara H. Olsen EFFECTS OF COMPANION ANIMAL OWNERSHIP AMONG CANADIAN STREET-INVOLVED YOUTH: A QUALITATIVE ANALYSIS - Michelle Lem, Jason B. Coe, Derek B. Haley, Elizabeth Stone, and William O'Grady STAFF VIEWS ON THE INVOLVEMENT OF ANIMALS IN CARE HOME LIFE: AN EXPLORATORY STUDY - Jane Fossey and Vanessa Lawrence INDEX OF VOLUME XL, 2013
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.035 | 0.005 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".