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 This chapter examines cognitive and epistemological foundations of interdisciplinary learning and their implications for quality interdisciplinary instruction. It shows that learning processes conducive to interdisciplinary integration reflect the plurality of interdisciplinary pursuits and disciplinary epistemologies—for example, from creating a historical monument to producing a complex explanation of overfishing. The chapter offers an epistemological framework to understand the cognitive demands of interdisciplinary learning and integration pointing to four processes in dynamic interaction: (1) establishing purpose; (2) weighing disciplinary insights; (3) building leveraging integrations, and (4) maintaining a critical stance. In interdisciplinary learning, such processes interact, informing one another as learning progresses iteratively. The result is a system of thought in reflective equilibrium—an improvement in understanding vis-à-vis prior beliefs, as well as an understanding subject to further revision. The framework is applied to two distinct examples of interdisciplinary work and implications for quality instruction are outlined
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.000 | 0.001 |
| 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