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
Problems of earth science involve not only questions of physical science and engineering, but also of the social sciences and humanities. As a fourth-year geo-environmental engineering student, I am increasingly concerned that issues of philosophy and public policy are being neglected in earth science classrooms. Realizing that my scholastic career was narrowing, I sought an opportunity to alleviate this concern and expand my horizon. This summer I participated in just such an opportunity: the Global Climate Change and Society Program, a Research Experience for Undergraduates (REU) sponsored by the National Science Foundation and held in Boulder, Colorado. Throughout the program, students were encouraged to collaborate with peers from around the country, exposed to an outstanding roster of guest speakers, and inspired to reap practical knowledge in disciplines outside their area of specialization. Canadian undergraduates in Earth science would greatly benefit from participating in educational programs of a similar nature. Canada's closest analogue of the National Science Foundation, the Natural Sciences and Engineering Research Council, needs to expand its outreach programs and spearhead a campaign to develop Research Experiences for Undergraduates in Canada.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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