Past, Present And Possible: Toward An Integrated Approach For Natural Heritage Conservation
Bibliographic record
Abstract
The Greenway Initiative, proposed by Ontario Nature, endeavours to reconnect the province’s fragmented natural landscapes through a system of cores and corridors. Non-governmental organizations like Ontario Nature are leading the effort to conserve the province’s natural heritage through public-private incentive-based tools including conservation easements and stewardship agreements. The rationale to incent conservation through public-private partnerships is to overcome the politically- and financially- unfavourable consequences that limit the effectiveness of regulatory approaches to achieve conservation objectives at the local scale. However, public-private incentive-based conservation tools also generate trade-offs that maintain the need for traditional regulatory approaches. This paper argues that in addition to established public instruments, incentive-based conservation tools to promote stewardship on private land are necessary to achieve broader conservation objectives. With a combination of public, private and third sector approaches, an integrated set of strategies is recommended, in which planning choices and trade-offs are made clear.
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.
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 | 0.010 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.006 | 0.017 |
| Scholarly communication | 0.030 | 0.020 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".