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Record W6969306732 · doi:10.5443/747

Monitoring of breeding activity of shorebirds at Alert, Nunavut

2016· dataset· en· W6969306732 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Polar Data Network · 2016
Typedataset
Languageen
FieldEarth and Planetary Sciences
TopicMineralogy and Gemology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFledgeNest (protein structural motif)HabitatPredationForagingAvian clutch sizeBreeding pairHatchingAerial survey

Abstract

fetched live from OpenAlex

We are monitoring the nesting activity of shorebirds. We find nests through systematic search of 12-ha plots established in a variety of habitats used by shorebirds (tundra terraces, graminoid marshes, barren ground). Some nests are also found opportunistically during other routine work. Nest locations are recorded with a GPS and revisited periodically during the nesting period to determine laying date, clutch size, hatching date and fledging success. Habitat data is also recorded in the immediate vicinity of the nest (one square metre) and in the general area. In order to estimate annual and spatial variation in predation pressure on ground nesting birds like shorebirds, random sets of 20 artificial nests are distributed over 2-km2 plots and visited twice between mid-June to late July. The fate of each egg is determined after 12 hours, 24 hours, 72 hours and then every 3 days afterwards until 90% of the nests have been depredated and/or a maximum of 12 days.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.479
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.246
Teacher spread0.205 · 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