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Record W6982172334

Herps in the wind: the ecology of herpetofauna in windfarms

2020· dissertation· en· W6982172334 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

VenueLu Zone Ul (Laurentian University) · 2020
Typedissertation
Languageen
FieldSocial Sciences
TopicForensic Fingerprint Detection Methods
Canadian institutionsnot available
Fundersnot available
KeywordsSpecies richnessBiodiversityAmphibianTransectThreatened speciesWetlandPredation
DOInot available

Abstract

fetched live from OpenAlex

Windfarms are reducing reliance on fossil fuels but they may present threats to wildlife. I studied
\nthe ecology of herpetofauna living in Prince Windfarm (Sault Ste Marie, Ontario) in 4 wetlands
\nlocated close to wind turbines (<500 m, Turbine sites), and 4 wetlands far from wind turbines
\n(>1.5 km, Control sites). I measured amphibian biodiversity using transect surveys and acoustic
\nrecordings of frog calls. I found lower biodiversity and richness within frog choruses in Turbine
\nsites, and some evidence that frogs in windfarms adjust their calls similar to frogs near roads. I
\nalso investigated whether the spatial ecology of Painted Turtles (Chrysemys picta) was impacted
\nby the windfarm. Turtles within the windfarm had shorter movements and marginally smaller
\nhome ranges than turtles in Control sites, and appeared to avoid service roads and turbines.
\nFuture research should investigate acoustic masking of low frequency calling amphibians and
\ninfrastructure avoidance behaviours by turtles.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score0.734

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.267
Teacher spread0.252 · 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