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.
Bibliographic record
Abstract
Abstract Growing a nature kindergarten that can flourish takes a community, careful planning, and sustained support. In 2011, the Sooke School District in British Columbia, Canada undertook the project of creating a nature kindergarten when outdoor programs of this kind did not exist in the Canadian public school system. Inspired by the well-established forest school and nature preschool models in northern Europe, a program to take 22 kindergarten students outside into nature every morning, regardless of the weather, was developed. This article explores how a unique framework and set of guiding principles were co-created by a diverse advisory committee. It also describes how the hiring, education, and ongoing support of the program's two educators — a kindergarten teacher and an early childhood educator — became critical to its success. The article offers an overview on steps taken, including how the idea was born, working within the public school system, building a framework and principles, hiring and education, preparing the educators, learning from our first year, ongoing support, and remaining questions. The authors’ intention is not to articulate best practices, but to share key aspects of the program's development and implementation phases that allowed the nature kindergarten to thrive over the last 5 years.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it