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Aotearoa New Zealand social workers and their views of inclusion of animals in social work practice – A descriptive study

2020· article· en· W3112662949 on OpenAlexaboutno aff
Polly Yeung, Nicole Robertson, Lucy Sandford-Reed

Bibliographic record

VenueAotearoa New Zealand Social Work · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAotearoaSocial workInclusion (mineral)Human servicesPublic relationsPsychologySociologyMedicineSocial psychologyPolitical scienceGender studies

Abstract

fetched live from OpenAlex

PURPOSE: Given the benefits of the human–animal bond (HAB), animals are being used in a range of social work settings. It is important to gain a more in-depth understanding of social work practitioners’ knowledge and actions in these interactions. The purpose of this study was to examine the views and knowledge of social workers in relation to the HAB in Aotearoa New Zealand. METHODS: A survey using an online portal was administrated to qualified social workers via professional and community networks to assess their exposure, level of knowledge, support, training, and barriers to animal–human relations. RESULTS: A total of 140 questionnaires were used for analysis. The results, similar to findings from Canada and the United States, indicate that social workers seemed to have high exposure to information about the benefits of HAB and understanding of the connections between animal abuse and child abuse/domestic violence. Only 68% have included animals in their social work practice. The vast majority have had no specific training in HAB. Untested or untrained animals were also reported to have been used in social work intervention practice. The lack of clear workplace policies, support and professional training in HAB were key barriers that inhibited the inclusion of animals in practice. CONCLUSIONS: Lack of understanding over how to include HAB in practice has serious implications for social work. HAB continues to influence and contribute to the lives of families and individuals and social workers have a duty to develop general awareness and knowledge of the benefits to human health and wellbeing of interacting with animals.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.340
Teacher spread0.298 · 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 designNot applicable
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

Citations2
Published2020
Admission routes1
Has abstractyes

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