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Record W6892170809 · doi:10.5066/p9r1l6q7

North American Bird Banding Program Dataset 1960-2020 retrieved 2020-06-26

2021· dataset· en· W6892170809 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

VenueUSGS DOI Tool Production Environment · 2021
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsData qualityGeological surveyQuality (philosophy)Historical record

Abstract

fetched live from OpenAlex

The North American Bird Banding Program is directed in the United States by the U.S. Geological Survey (USGS) Bird Banding Laboratory (BBL), Eastern Ecological Science Center at the Patuxent Research Refuge (EESC) and in Canada by the Bird Banding Office (BBO), Environment and Climate Change Canada (ECCC). The respective banding offices have similar functions and policies and use the same bands, reporting forms and data formats. Data contributors are US and Canadian bird banding permit holders: federal, state, tribal, local government, non-government agencies, business, university and avocational biologists. Bird banders capture wild birds and mark them with a metal leg band with a unique 9-digit number. Extra markers may be added. Attributes of a bird such as age, sex, condition, molt and morphometrics may be taken before the bird is released. This long-term dataset is made up of over 77 million bird banding records with over 1,000 species, and over 5 million encounter records with nearly 800 species. Federal bands are used on species included in the Migratory Bird Treaty Act (MBTA). Banding, encounter and recapture records are available for years 1960 to present. The data is curated at BBL on a daily basis, therefore each yearly version may differ from previous releases. The BBL produces one data release annually, beginning in 2020. Each yearly release is available for request. Data quality is established by contributors submitting their data. Incoming data must pass automatic validation rules to meet quality standards, and in some cases additional validation is conducted by staff at BBL and BBO. It is imperative to understand the codes used by the BBL and BBO. In early days of storage space restrictions for electronic data, an efficient system of codes was developed. Some examples include: bird status code, coordinate precision, inexact date, minimum age at encounter. BBL terminology is important as well: an encounter refers to a sighting or direct encounter with a banded or auxiliary-marked bird by any person; recapture denotes a banded bird recaptured during banding operations; recovery refers a harvested gamebird. Please cite as: Celis-Murillo A, M Malorodova, E Nakash. 2020. North American Bird Banding Dataset 1960-2020 retrieved 2020-06-26. U.S. Geological Survey, Eastern Ecological Science Center at the Patuxent Research Refuge.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.044

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 head0.016
GPT teacher head0.253
Teacher spread0.237 · 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

Quick stats

Citations3
Published2021
Admission routes1
Has abstractyes

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