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Record W2942139446 · doi:10.1163/15685306-12341640

Shifting Preservice Teachers’ Views of Animal Welfare and Advocacy through a Human-Animal Relationships Course

2019· article· en· W2942139446 on OpenAlex
Christine Yvette Tardif-Williams, John-Tyler Binfet, Camille X. Rousseau

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

VenueSociety and Animals · 2019
Typearticle
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British ColumbiaBrock University
Fundersnot available
KeywordsSummative assessmentCurriculumAnimal welfareFeelingPsychologyPedagogyAnimal-assisted therapyLiteracyWelfareMedical educationFormative assessmentPolitical sciencePet therapySocial psychologyMedicine

Abstract

fetched live from OpenAlex

Abstract This mixed-methods study explored how participation in an intensive course on human-animal relationships impacted preservice teachers’ views about human-animal welfare and advocacy and animal-focused curriculum. Participants were 25 undergraduate students (24 female; 1 male) following a teacher education pathway. Participants completed the Animal Rights Scale , and their insights on assigned readings were captured through weekly journal entries and responses to summative prompts. Participants reported feeling increased responsibility to advocate on behalf of nonhuman animals and greater support of animal welfare during the post-course (versus pre-course) assessment, and participants’ weekly and summative responses revealed some of the nuances and internal tensions in their thinking about integrating animal-focused curriculum as part of their future professional practice. As teachers play key roles fostering humane literacy and engaging young people with actual nature and animals, these findings have implications for both education and higher education curriculum and initiatives.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score0.777

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.083
GPT teacher head0.365
Teacher spread0.282 · 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