MétaCan
Menu
Back to cohort
Record W3145217159

An Integrative Analysis of the Effects of Neonicotinoid Pesticides on North American Hummingbirds

2020· dissertation· en· W3145217159 on OpenAlexfundno aff
Simon G. English

Bibliographic record

VenueTSpace · 2020
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsnot available
FundersEnvironment and Climate Change Canada
KeywordsImidaclopridNeonicotinoidBiologyPesticideZoologyEcologyToxicology
DOInot available

Abstract

fetched live from OpenAlex

Neonicotinoids are neurotoxic systemic insecticides applied extensively worldwide. The impacts of neonicotinoid exposure on invertebrates are widely studied, however effects on essential vertebrate pollinators like hummingbirds have received little attention. My study into the effects of imidacloprid, a common neonicotinoid, on hummingbirds integrates lab-based and field-based assays with emphasis on cellular, systems, whole-organism, and behavioural levels. Within 2 h of exposure, hummingbirds exhibited a significant depression in energy expenditure (up to 25% +/- 11%). I did not observe effects on feeding behaviour, immune response, or cholinesterase activity in the lab, or stress hormone deposition in feathers collected in the field. I also determined that hummingbirds excrete imidacloprid quickly (elimination half-life of 2.1 h +/- 0.1 h) relative to other bird species. Hummingbirds exist on narrow energy margins, especially during migration and breeding seasons. Therefore, changes in their metabolism following exposures to imidacloprid observed herein could bear important energetic consequences.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.711
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
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 head0.013
GPT teacher head0.320
Teacher spread0.307 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueTSpaceSame topicInsect and Pesticide ResearchFrench-language works237,207