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Record W4408296252 · doi:10.3356/jrr2449

Investigating Plastic Pollution Ingestion in Migratory Turkey Vultures (Cathartes aura) in Ontario, Canada

2025· article· es· W4408296252 on OpenAlexaffabout
Kerry Schutten, Akshaya Chandrashekar, Brian Stevens, E. Jane Parmley, Jennifer F. Provencher, Claire M. Jardine

Bibliographic record

VenueJournal of Raptor Research · 2025
Typearticle
Languagees
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsEnvironment and Climate Change CanadaUniversity of Guelph
Fundersnot available
KeywordsAuraGeographyIngestionPollutionPlastic pollutionEnvironmental protectionEcologyBiologyMedicine

Abstract

fetched live from OpenAlex

Turkey Vultures (Cathartes aura) are opportunistic scavengers that provide essential ecosystem services, yet their populations face multiple, potentially synergistic health threats. The potential health implications of chronic plastic pollution ingestion in birds are of increasing concern, yet rates of plastic ingestion are poorly understood for Turkey Vultures across their range. We investigated plastic ingestion by migratory Turkey Vultures in Ontario, Canada. We collected regurgitated pellets at communal roost sites to serve as noninvasive proxies for plastic ingestion. A total of four communal roosts were sampled, with two of these sites sampled across multiple years (2021–2023). Plastics and other anthropogenic debris were detected in 16.3% of pellets (range: 4.0–34.6% across sites and years). This is the first reported detection of plastic ingestion by migratory Turkey Vultures in the northern part of their range. Our results provide baseline data for the assessment of plastic ingestion in this species and contribute novel data about plastic pollution in an understudied terrestrial environment.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.030
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.316
Teacher spread0.285 · 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.

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
Published2025
Admission routes2
Has abstractyes

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