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Record W2892944192 · doi:10.25316/ir-2312

In British Columbia’s nature programs where hearts are rooted : a multiple case study of nature education in early childhood education

2018· article· en· W2892944192 on OpenAlexaboutno aff
Susan Myers

Bibliographic record

VenueVIURRSpace (Vancouver Island University) · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicDiverse Educational Innovations Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental educationSociologyPolitical sciencePedagogy

Abstract

fetched live from OpenAlex

This research is aimed at contributing to knowledge about early childhood education (ECE) nature programs for children aged two to five years old. In the research, three cases that embed eight early childhood nature programs were examined in British Columbia (BC). This research is applied and interdisciplinary. The research questions address why nature education is important in educating young children. A qualitative approach was used to identify the relevant data outlined in this dissertation. Data was collected at individual case study programs and then analyzed through thematic analysis, coding of materials, field observations, and researcher reflections. The key findings determined that: (1) nature exposure helps reconnect children to nature; and (2) there are social benefits of that reconnection that positively affect children’s development, happiness, and health. Findings also indicated that to realize these outcomes, operators and educators of nature programs- have a breadth and depth of leadership that demonstrated both a vision and a mission of how to facilitate children’s experiences in nature. In the research process, limitations were identified alongside ethical considerations, to inform the completed research. Findings from this study will be disseminated to interested early childhood professionals. This knowledge dissemination is key to building nature education capacity in ECE programs. Key Words: nature, methodology, case study, children, early childhood education, nature education, early childhood educators, placed-based education, pedagogy, resource

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.823
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.214
Teacher spread0.207 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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