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Record W4283016249 · doi:10.18357/jcs202219641

Plastics, Birds, and Humans: Awakening and Quickening Ecological Minds in Young Children and Their Teachers

2022· article· en· W4283016249 on OpenAlexvenueno aff
Will Parnell, Julianne Cullen, Michelle Domingues

Bibliographic record

VenueJournal of Childhood Studies · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Meaning (existential)Visual artsEcologyQuickeningSociologyPedagogyPsychologyGeographyArtArchaeologyBiology

Abstract

fetched live from OpenAlex

Working with educators, artists, young children, and materials to make meaning with place affected by human environmental impacts, this study zooms in on a documentary of dying birds who’ve swallowed plastics. The birds’ habitat is an eye-opening 2,000 miles from the nearest continent and is infested with trash and plastic. The birds ingest many shiny plastic bits and slowly die. This research paper focuses in on experiences of sharing this documentary with teacher educators at an international conference, then educators in our own context, and then with early childhood artists working in reuse materials. The research captures a series of dialogues and materials interactions at each of the three gatherings about possible ways to research with young children on daunting ecological issues in perilously turbulent times.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0080.013
Scholarly communication0.0090.005
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.249
Teacher spread0.226 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations6
Published2022
Admission routes1
Has abstractyes

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