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Record W4412829607 · doi:10.22329/jtl.v19i2.8446

Learning in Non-School Settings: Assessing the Roles of Zoos in Science Education

2025· article· en· W4412829607 on OpenAlexaffvenue
Eddia Copeland Solas

Bibliographic record

VenueJournal of Teaching and Learning · 2025
Typearticle
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsPsychologyScience educationScience learningMathematics educationPedagogySociology

Abstract

fetched live from OpenAlex

This paper conducts a comprehensive review of the existing literature to examine the significance of zoos in cultivating scientific literacy in society. The focus is on revealing how educators can strategically utilize zoos as a valuable resource to stimulate critical thinking about the Nature of Science (NOS) and Socio-Scientific Issues (SSI) within the framework of formal school science curricula. The review encompasses the diverse educational initiatives undertaken by zoos, ranging from interactive exhibits to specialized programs, and explores their potential impact on enhancing student understanding of scientific concepts. Drawing on the findings, this paper provides recommendations for educators seeking to integrate zoo experiences into their teaching methodologies, emphasizing the potential for zoos to serve as dynamic platforms for fostering a more profound engagement with science. By bridging the gap between informal and formal learning environments, this research aims to contribute practical insights that empower educators in leveraging zoos to inspire critical thinking and scientific literacy in the broader community.

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)0.008
metaresearch head score (Gemma)0.002
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 score0.177
Threshold uncertainty score0.733

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.011
GPT teacher head0.358
Teacher spread0.347 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2025
Admission routes2
Has abstractyes

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