MétaCan
Menu
Back to cohort

Roosts and food supplies ameliorate the impact of a bad summer on reproduction by the bat,<i>Myotis lucifugus</i>LeConte (Chiroptera: Vespertilionidae)

2001· article· en· W2541469623 on OpenAlexaffvenue
D. M. Syme, Brock M. Fenton, Joanna Zigouris

Bibliographic record

VenueEcoscience · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsYork University
Fundersnot available
KeywordsMyotis lucifugusReproductionBiologyEcologyFood supplySeasonalityZoology

Abstract

fetched live from OpenAlex

At the Chautauqua Institution in southwestern New York State, the period between May and September in 1991 differed in rainfall and temperature from the same period in 1992. 1992 was significantly cooler and wetter than 1991, reflecting the global impact of the 1991 eruption of Mt Pinatubo. Some buildings at the Institution are used as nursery roosts by thousands of Myotis lucifugus (little brown bats) and in one roost, maximum temperatures were significantly lower in 1992 than in 1991. There were no significant differences between these two summers in the diet of M. lucifugus, which mainly comprised aquatic insects that did not differ significantly in availability. There were significant differences in the numbers of bats using some roosts between years, with more bats in larger colonies and fewer in smaller colonies in 1992. This suggests greater use of clustering by roosting bats, which was supported by direct observation. There were no significant differences between years in the timing of reproduction (incidence of pregnant, lactating and post-lactating females or the appearance of volant subadults). We conclude that roosts and food supply appear to insulate M. lucifugus from the effects of cool, wet weather.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score0.598

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.022
GPT teacher head0.239
Teacher spread0.217 · 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 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

Citations21
Published2001
Admission routes2
Has abstractyes

Explore more

Same venueEcoscienceSame topicBat Biology and Ecology StudiesFrench-language works237,207