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Record W6943759651 · doi:10.1675/063.048.0110

Minimal Accumulation of Microplastics in Shorebirds at Migratory Stopover Sites in Canada

2025· article· en· W6943759651 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWaterbirds · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsMount Allison UniversityBirds CanadaEnvironment and Climate Change CanadaSimon Fraser UniversityUniversity of Saskatchewan
Fundersnot available
KeywordsSandpiperCalidrisMicroplasticsPlastic pollutionZooplankton

Abstract

fetched live from OpenAlex

We quantified egested microplastics and identified plastic polymer composition for three shorebird species (Western Sandpiper Calidris mauri, Dunlin Calidris alpina, and Semipalmated Sandpiper Calidris pusilla) by collecting fecal samples at major stopover sites on the Pacific and Atlantic coasts of Canada in 2022. The sampling effort resulted in a total of 133 individual fecal samples, 93 from the Pacific sites and 40 from the Atlantic sites. Frequency of occurrence (FO) of microplastics was generally low and ranged by species: Western Sandpiper (FO = 13%, n = 11/87), Dunlin (FO = 17%, n = 1/6), and Semipalmated Sandpiper (FO = 3%, n = 1/40). We isolated a total of 14 plastic microfibers from 13 birds, of which polyester was the most common polymer (n = 6), followed by polypropylene (n = 4), and polyamide (n = 4). The colour of microplastics were white (n = 9, 64%) and black (n = 5, 36%), and the average length was 2.35 mm (SD = 1.18 mm). This study adds Western Sandpiper and Semipalmated Sandpiper to the list of shorebirds that are demonstrated to ingest microplastic pollution and underscores the need to understand the consequences of such ingestion.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.363
Threshold uncertainty score0.540

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 science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.231
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