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Record W3030384829 · doi:10.1080/03004430.2020.1767608

Preschool children’s perceptions on human–environment relationship: follow-up research

2020· article· en· W3030384829 on OpenAlex
Seçil Cengizoğlu, Refika Olgan, Gaye Teksöz

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

VenueEarly Child Development and Care · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsPsychologyPerceptionDevelopmental psychologyEarly childhoodEarly childhood educationSample (material)SustainabilityFocus groupPedagogySociologyEcology

Abstract

fetched live from OpenAlex

In the current study, we focus on how the early childhood education for sustainability (ECEfS) program develops the perceptions of preschool children about the human–environment relationship. The sample of the study consisted of preschoolers aged 60–66 months in Ankara, Turkey. The data were collected through the drawings of children on the topic of ‘human–environment’ and interviews on drawings obtained before and after the program. The findings revealed that children perceive their environment as a peaceful and gentle place. Furthermore, children conceptualized the environment through unusual and fantastic elements and they described the environment through secondary sources. There was a shift in descriptions in the post- and follow-up drawings including proposing recycling as a way of reconstructing the human–environment relationship, with making connections between global issues. In parallel to post findings, follow-up drawings gained after 10-month of the implementation highlights children’s own solutions for a sustainable future.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.002

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 head0.034
GPT teacher head0.288
Teacher spread0.253 · 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