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Record W7019220030

First Record of the Little Stint for Mexico

2004· article· en· W7019220030 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - University of South Florida (University of South Florida) · 2004
Typearticle
Languageen
FieldArts and Humanities
TopicPaleopathology and ancient diseases
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Historical recordPeriod (music)Identification (biology)
DOInot available

Abstract

fetched live from OpenAlex

A juvenile Little Stint (Calidris minuta) occurred at Estero Punta Banda, Baja California, Mexico, from 22 to 30 October 2002.The Little Stint breeds in the northern Palearctic and winters primarily in Africa and India.Since 1975 it has been found with increasing regularity as a vagrant in the New World, primarily in Alaska.The observation we report is the first record for Mexico and the first photographically documented record for Middle America.The Little Stiat (Calidris minuta) is one of seven small similarly plumaged arctic-breeding shorebirds known collectively in the United States and Canada as peeps and in Britain as stints.Members of this group pose considerable field identification challenges, the most difficult of which arise among the four small, black-legged species: the Semipalmated (C.pusilla) and Western (C.mauri) Sandpipers and the Little and Red-necked (C.ruffcollis) Stints, all of which are similar in size, structure, and plumage.WORLD RANGE The Little Stint is a long-distance migrant breeding in the high Arctic and wintering primarily in Africa.It has a world population estimated at 1,434,000 (del Hoyo et al. 1996).From June to August it breeds from northern Scandinavia east through north-central Siberia (del Hoyo et al. 1996, American Ornithologists' Union [A.O.U.I 1998), occasionally as far east as the Chukchi Peninsula at Siberia's northeastern tip (Russian literature cited by Gibson and Kessel 1992).It winters throughout Africa and the Mediterranean and east through the Arabian Peninsula and the Persian Gulf to India and Myanmar (del

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.028
GPT teacher head0.178
Teacher spread0.150 · 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 designQualitative
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
Published2004
Admission routes1
Has abstractyes

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