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
History educators are well positioned to connect, or reconnect, young people to their environmental relations, if they can expand the purposes and vehicles for history learning. This effort may include historical thinking, while also moving beyond it towards better understanding and upholding our relationships to the planet. We offer history educators a set of considerations as they plan experiences for learning that bring environmental topics into their teaching, bridging between theoretical literature and practical guidance. The four facets of experiences for learning on which we focus are: 1) eco-emotional literacy, 2) nature connectedness through experiential learning, 3) storying, and 4) inquiry practices. All facets are characterized by understanding how the past, present, and future are connected in ways that move towards overcoming anthropocentrism. To illustrate the possible learning outcomes of this approach to history education, we describe a teaching unit entitled “What is the story of this watershed?”
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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