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Record W2107337720

Too Many Monkeys Jumping in Their Heads: Animal Lessons within Young Children's Media.

2011· article· en· W2107337720 on OpenAlexvenueno aff
Nora Timmerman, Julia Ostertag

Bibliographic record

VenueCanadian journal of environmental education · 2011
Typearticle
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesEnvironmental educationClothingSociologyPsychologyArtPedagogyHistory
DOInot available

Abstract

fetched live from OpenAlex

Young children’s media regularly features animals as its central characters. Potentially reflecting children’s well-documented affinity for/with animals, this media— books, toys, songs, clothing, electronic media, and so on—carries with it many explicit and implicit messages about animals and human-animal relationships. This article focuses on the particularly foundational age of children under four and their parents/caregivers as children’s first early childhood environmental educators. Drawing on ecofeminism, ecocriticism, and early childhood environmental education, we explore messages about animals in children’s media, critically considering notions of mis- and dis-placement, anthropomorphism, and subjectivity. Our inquiry challenges parents and environmental educators to reconsider the lessons young children learn about animals from their surrounding media and explore possible alternatives that question and seek to transform social and ecological inequalities. Resume Les medias destines aux jeunes enfants presentent regulierement des animaux a titre de personnages principaux. Representant possiblement la predilection maintes fois attestee des enfants pour les animaux, ces medias (livres, jouets, chansons, vetements, medias electroniques, etc.) sont accompagnes de nombreux messages explicites et implicites sur les animaux et les relations humain-animal. Le present article met l’accent sur l’âge des plus propice des enfants de moins de quatre ans et leurs parents/gardiens en tant que tout premiers educateurs en environnement. En puisant dans l’ecofeminisme, l’ecocritique et l’education environnementale a la petite enfance, nous examinons les messages sur les animaux dans les medias destines aux enfants, nous penchant d’un point de vue critique sur les notions de « mal- » et « de- » -placement, d’anthropomorphisme et de subjectivite. Notre etude met au defi les parents et educateurs en environnement de remettre en question les lecons que tirent les jeunes enfants des animaux representes dans les medias leur etant destines, et examine les autres methodes pouvant remettre en cause et transformer les inegalites sociales et ecologiques.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.999

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)0.0020.000

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 head0.033
GPT teacher head0.257
Teacher spread0.224 · 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 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

Citations21
Published2011
Admission routes1
Has abstractyes

Explore more

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