Too Many Monkeys Jumping in Their Heads: Animal Lessons within Young Children's Media.
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".