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Record W4233239700 · doi:10.32920/ryerson.14661687

Past, Present And Possible: Toward An Integrated Approach For Natural Heritage Conservation

2021· preprint· en· W4233239700 on OpenAlexaffabout
Lily-Ann D'Souza

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnvironmental Science
TopicEnvironmental Conservation and Management
Canadian institutionsUniversity of GuelphToronto Metropolitan University
Fundersnot available
KeywordsStewardship (theology)EasementIncentiveBusinessEnvironmental stewardshipEnvironmental planningEnvironmental resource managementPrivate sectorPublic goodEconomicsPolitical scienceGeographyEconomic growth

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.032
GPT teacher head0.251
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

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