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Record W7149226149

The Spring Season

2012· article· W7149226149 on OpenAlexaboutno aff
Richard L. Knight, Dick Preston, Phillip D. Casteel, Richard P. Lewis

Bibliographic record

VenueDigital Commons - University of South Florida (University of South Florida) · 2012
Typearticle
Language
FieldSocial Sciences
TopicEducational Leadership and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsSpring (device)Frost (temperature)Vegetation (pathology)CaveNova scotiaNesting season
DOInot available

Abstract

fetched live from OpenAlex

March was one of the warmest on record statewide, with new high temperature marks set in numerous locations.As a result, vegetation emerged earlier by three weeks or more.e following two months were also generally warmer than usual.A brief cold snap in mid-April brought frost to some areas, but was only a minor setback.Numerous new early arrival dates were established in various sections of the state.However, overall numbers of migrants seemed low.us it is likely that the warm temperatures, favorable winds, and general lack of rains during the peak of migration allowed many migrants to pass over the state before stopping.Early breeding also was noted for some species.Could a Brown Pelican on Cordell Hull Lake have been the same individual seen near Chattanooga?ree reports of Northern Goshawk were surprising.A potential new nesting pair of Peregrine Falcons was located in the mountains.A handfull of Common Gallinules were scattered through East Tennessee, where typically quite scarce.Whitewinged Doves appeared in three regions, as this species continues to increase as a vagrant in the state.Two Cave Swallows were seen near Memphis, while a Yellow-headed Blackbird was observed near Chattanooga. Standard Abbreviationsad -adult lrs -latest reported sighting Co -County max -maximum count Cr -Creek m.ob.-many observers ers -earliest reported sighting Mtn -Mountain et al.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.392
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0040.004
Scholarly communication0.0000.005
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.046
GPT teacher head0.242
Teacher spread0.196 · 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; both teacher heads agree on what is shown here.

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
Published2012
Admission routes1
Has abstractyes

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