Bibliographic record
Abstract
Environmental education has reached an interesting crossroads. There has never before been such media attention on hard-to-grasp issues such as climate change, nor has there ever been such scientific understanding and agreement about the varied aspects of the environmental crisis, the loss of biodiversity, and the health effects of human-made toxins and pollutants. In addition, there has never been so much high quality research within environmental education, with new journals flourishing in Canada, Australia, and South Africa to give just a few examples. Yet, despite all this knowledge and attention, there has not been a significant shift in the way the economy operates, the way governments govern or the way people live. Consumption of resources continues to increase and these patterns continue to be closely correlated with levels of waste, pollution, environmental ill health, and social injustice. This book showcases the work and thinking of environmental educators who are concerned about the residual mechanism within their field, the guiding symbol of the web of life in all its dynamism notwithstanding. The notion of web recognizes interaction between all elements in a system but falls short of recognizing the flow of the whole through the system and its parts. The notion of dance is used here to convey this fundamental, yet oft overlooked, dimension to wholeness.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.203 | 0.069 |
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".