Estimating day use social carrying capacity in Yosemite national park
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 Estimating Day Use Social Carrying Capacity in Yosemite National Park Carrying capacity has been a long‐standing issue in management of parks and outdoor recreation. Contemporary carrying capacity frameworks rely on formulation of indicators and standards of quality of the recreation experience to define and manage carrying capacity. This paper describes a program of research to support application of carrying capacity to Yosemite Valley, the scenic heart of Yosemite National Park, USA. Research included (1) a series of visitor surveys at selected sites within Yosemite Valley to identify indicators and standards of quality, (2) development of computer simulation models of visitor use at study sites to estimate maximum daily use levels without violating standards of quality, and (3) a park exit survey to determine the percentage of day users at study sites. Study findings are used to estimate a range of day use carrying capacities at study sites and for Yosemite Valley as a whole.
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 | 0.001 |
| 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) | 0.001 | 0.001 |
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