MétaCan
Menu
← Back to cohort
Record W7132979882

Endangerment and recovery trends in Ontario's birds at risk

2008· dissertation· W7132979882 on OpenAlexaboutno aff
Jerry V DeMarco

Bibliographic record

VenueTSpace · 2008
Typedissertation
Language
FieldEnvironmental Science
TopicAnimal Ecology and Behavior Studies
Canadian institutionsnot available
Fundersnot available
KeywordsThreatened speciesOverexploitationHabitatHabitat destructionEndangered speciesWildlife conservationRisk assessment
DOInot available

Abstract

fetched live from OpenAlex

This study analyzes factors associated with the endangerment and recovery of Ontario's birds at risk. Birds that have been considered to be at risk by government-appointed authorities were compared to those that have not, to determine if their distributions across habitats and ranges in Ontario are different. Among at risk species, several Chi-square analyses were undertaken to determine if there were any significant associations among variables such as cause of endangerment, risk status, recovery status, habitat, range, and Breeding Bird Atlas trends from 1981-1985 to 2001-2005. The results show that species at risk and species that are not recovering are concentrated in southern Ontario. As well, species that have been threatened by overexploitation and pollution have been more likely to recover than those suffering from habitat loss. As a result, significant attention should be paid to habitat protection and restoration if future Ontario bird conservation initiatives are to be successful.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.382

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.320
Teacher spread0.288 · 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 designObservational
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
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueTSpace→Same topicAnimal Ecology and Behavior Studies→French-language works237,207→