Bibliographic record
Abstract
The purpose of th1s research 1s to measure the perceptions and demands placed on Nana1mo's municipal park trails The present tra1l users' attitudes, use patterns , v1ews on present and future development, and op1n1ons on dog use and other multiple use 1ssues were analyzed Three different survey methods -observational stud1es , person to person 1nterv1ews, and focus groups -were ut1l1zed to help reduce bu1lt m respondent and 1nterv1ewer b1as and mcrease the val1d1ty and rel1ab1l1ty of the results These three survey types were undertaken 1n combmat1on w1th a recreat1on mventory of the e1ght nature trail s1tes 1ncluded m the study Bas1c results suggest that trail users are happy w1th the present level of park mamtenance and the number of cyclists , but are concerned w1th safety 1ssues such as vandalism and the large number of uncontrolled dogs m the parks Recommendations for the future use and development of the nature trails were generated from the data collected and was submitted to the Nana1mo Parks Plann1ng Department.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".