Killbear Provincial Park: The beach and dunes, their use and the implications for management (Ontario)
Bibliographic record
Abstract
Beaches, and in particular sand dunes, are extremely fragile environments, easily altered by human activities. Intensive use of the beach/dune complex at Killbear Provincial Park near Parry Sound, Ontario may have led to the severe degradation of its dune system within Kilcoursie Bay. At present the dunes have been degraded back to an embryonic state, and as a result it is necessary to consider the development of management strategies before the system is completely destroyed. In order to develop effective management strategies however, it is necessary to understand how the natural process of the system work and the specific effects human activities are having. Unfortunately no information is currently available on the coastal processes active within Kilcoursie Bay. It will therefore be necessary to conduct studies to determine these processes, and to observe human activities on the beach to establish patterns of movement through the dunes and areas of particularly intense use. Once this has been accomplished several management techniques, to repair and reduce the human impacts on the system, will be developed and presented to park managers.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.025 | 0.003 |
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".