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Record W2086074786 · doi:10.1080/13504622.2014.999226

Fostering kinship with animals: animal portraiture in humane education

2015· article· en· W2086074786 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironmental Education Research · 2015
Typearticle
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsDawson College
FundersDalhousie UniversityConcordia University
KeywordsSentienceKinshipFeelingPsychologyPerceptionAnimal welfareMeaning (existential)Social psychologyHUBzeroDevelopmental psychologyPet therapySociologyEcologyEnvironmental ethicsAnthropology

Abstract

fetched live from OpenAlex

Visual depictions of animals can alter human perceptions of, emotional responses to, and attitudes toward animals. Our study addressed the potential of a slideshow designed to activate emotional responses to animals to foster feelings of kinship with them. The personal meaning map measured changes in perceptions of animals. The participants were 51 students enrolled at a pre-university college in Montreal, Quebec. Major conceptual themes were developed based on students’ responses on the PMM both pre- and post-slideshow. Ninety-two percent changed their perceptions of ‘Animal’ after viewing the slideshow. Pre-slideshow perceptions of ‘Animal’ were described primarily as Pets/Symbols, Biological/Wild Nature, Commodity/Resource, and Dangerous. After the show, the perceptions shifted to Kinship and Sentience/Individuality, with substantial increases in the depth and emotion associated with responses. Thus, viewing animal portraiture improved feelings of kinship with animals and enhanced perceptions of animal individuality in a classroom setting.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score1.000

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)0.0020.001

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 head0.203
GPT teacher head0.451
Teacher spread0.249 · 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