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Record W7153679550

Miller on the Classification of Kingfishers

2024· article· W7153679550 on OpenAlexaboutno aff
W. S.

Bibliographic record

VenueDigital Commons - University of South Florida (University of South Florida) · 2024
Typearticle
Language
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsAnasMillerState (computer science)
DOInot available

Abstract

fetched live from OpenAlex

be called Anas rubripes but if there be two then the Red-legged form is Anas rubripes rubripes and the dusky-legged form A. rubripes tristis.The systematic treatment of the species constitutes Part I. Part ii of the report comprises histories of the species which are extinct ox exti•?ated in Massachusetts; the Great Auk, Labrador Duck, Eskimo Curlcw• Passenger Pigeon, Trumpeter Swan, Whooping Crane, Sandhill Crane, and Wild Turkey.Part III is an admirable discussion of the conservation of Game Birds in which every element receives careful consideration.The problem is a serious one and one that must be considered promptly and exhaustively in every state in the Union, if we are to save many of our birds from the fate wtfich has overtaken those mentioned above.Mr. Forbush suggests seventeen steps, M1 or most of which must be taken if we expect to increase the supply of game birds.'These include the following: establishment of (1) bird reservations, (2) systems of federal control of migrating birds, and (3) systems of town wardens in addition to state wardens; protfihiting of (1) sale and export of game, (2) sale and use of ultra-destructive firearms, (3) shooting from boats; registration of native hunters and raising of fees for Mien hunters, so as to be practically prohibitive; limiting of each day's bag; reducing the number of stray dogs and cats; checking forest fires; making the open seasons as nearly uniform as possible; encouraging the propagation and sale of such game as can be raised on game farms; and more important than all the establishment of a better attitude among the public at large toward the game laws.If the laws are wilfully disregarded as is frequently the case at present all hope for improved conditions might as well be abandoned.In this very field, more perhaps than in any other, Mr. Forbush's work will do an enormous good.--W.S. Miller on the Classification of Kingfishers 2--Work of the kind that

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.094
Threshold uncertainty score0.186

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0230.009

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 head0.194
Teacher spread0.166 · 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 source (direct Gemma or distilled Codex), 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
Published2024
Admission routes1
Has abstractyes

Explore more

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