«Chanter des comptines aux escargots»: la sensibilité écologique d’enfants âgés de 2 à 5 ans en centre de la petite enfance œuvrant en éducation par la nature
Bibliographic record
Abstract
The objective of this mixed-design study is to provide a portrait of the connection to nature, specifically to describe the enjoyment of nature, awareness of nature, empathy and responsibility towards nature, of children aged 2 to 5 years (102 girls and 121 boys) in early childhood centers working in nature-based education in Quebec. The results of the Connectedness to Nature Index – Parents of Preschool Children (CNI-PPC ; 5 points Likert scale; MIN = 1, MAX = 5),) (Sobko et al., 2018) to which 223 parents responded, indicate an average score of 4.42 out of 5 (SD=.42). Descriptive analyses show that enjoyment of nature is the dimension with the highest score (M = 4.8; SD = 0.4), followed by awareness of nature (M = 4.6; SD = 0.5), responsibility towards nature (M = 4.3; SD = 0.8) and finally empathy towards nature (M = 3.9; SD = 0.9). A thematic analysis of individual interviews conducted with 10 educators completes the portrait of children's C2N by describing moments testifying the deployment of children's enjoyment of nature, awareness of nature, empathy and responsibility towards nature. These results will be discussed from the perspective of nature-based education to promote C2N in young children.
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 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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".