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Record W3094100179 · doi:10.1163/15685306-bja10021

Anthropomorphized Nonhuman Animals in Mass Media and Their Influence on Human Attitudes Toward Wildlife

2020· article· en· W3094100179 on OpenAlex
Chiara Grasso, Christian Lenzi, Siobhan Speiran, Federica Pirrone

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 · 2020
Typearticle
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsQueen's University
Fundersnot available
KeywordsDepictionMass mediaPerceptionWildlifePsychologyFocus (optics)Thematic analysisSocial psychologySociologyAdvertisingEcologyQualitative researchBiologySocial scienceArt

Abstract

fetched live from OpenAlex

Abstract Anthropomorphic figures of nonhuman animals are omnipresent in various forms of mass media (e.g., movies, books, and advertising). The depiction of companion and wild animals, including nonhuman primates (e.g., chimpanzees), as possessing human characteristics or behaviors can influence these animals’ desirability as companions. Ultimately, this can distort general public perception of what constitutes “normal” wild behavior, as well as the conservation status of these animals. Therefore, anthropomorphic animal representations can contribute to the spread of misleading messages that may have highly unpredictable effects. In the present review, we have highlighted various articles from the academic literature which focus on anthropomorphised animals, noting the main thematic issues. We suggest that further studies on this topic are needed to deepen such a complex and not yet clarified topic.

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)0.000
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 score0.367
Threshold uncertainty score0.644

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.093
GPT teacher head0.351
Teacher spread0.258 · 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