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Record W2622735520

Guidelines to enhance the ecological value of cemeteries in southern Ontario

2013· dissertation· en· W2622735520 on OpenAlexaboutno aff
Diane Relyea

Bibliographic record

VenueThe Atrium (University of Guelph) · 2013
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicBotany and Plant Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyValue (mathematics)EcologyArchaeologyEnvironmental resource managementEnvironmental scienceBiologyMathematicsStatistics
DOInot available

Abstract

fetched live from OpenAlex

The cultural role of cemeteries is well defined, but the ecological importance of these sites is less recognized. As passively-used permanent greenspace, cemeteries have the potential to sustain biodiversity as surrounding land uses change. Informant interviews were conducted with professionals familiar with cemeteries and the funeral industry, and responses were compared within and between professions. Results of this study suggest that while cemeteries provide significant cultural and environmental benefits, their ecological potential is limited by factors including funding and legislation. In order to enhance the ecological value of cemetery sites, the incorporation of native trees and variable habitat within traditional cemetery designs\nshould be considered to improve the quality of resources available to wildlife. Additionally,amendments should be made to the Provincial Policy Statement to include an independent land use designation for cemeteries and implement regional scale planning of these sites across\nOntario.

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.120
Threshold uncertainty score0.260

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.005
Science and technology studies0.0060.002
Scholarly communication0.0030.001
Open science0.0040.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0180.003

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.

Opus teacher head0.027
GPT teacher head0.230
Teacher spread0.203 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2013
Admission routes1
Has abstractyes

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