Recreational Access Management Planning: Understanding Perceptions Regarding Public Forest Lands in SW Alberta
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
Management of recreational access on public forest lands is a complex issue of growing global importance. The provision of public recreation opportunities is part of the suite of ecological goods and services that must be considered by many forest managers. Effective access management is predicated on understanding the attitudes and perceptions of recreation users in order to predict and influence visitor behaviour and gauge the acceptance of new management strategies. Potential access management strategies vary given the nature of recreation activities and include: restricting the amount, type, and spatial distribution of use, visitor education, temporal restrictions and enhancing site durability. In this research we examined the views of recreation users on public lands in southwestern Alberta, Canada through implementation of an online survey (n = 945) with a focus on access management options. The results indicate a strong belief that the quality of the recreation experience is declining and that increased management and enforcement are required. More detailed analysis indicates that demographic and user-type variables strongly influence ideas about appropriate management. Forest managers need to engage with, understand, and respond to a wide variety of recreation user needs and preferences.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 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