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An animal geography of avian feeding habits in Peterborough, Ontario

2008· article· en· W1994304194 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueArea · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsVancouver Island UniversityUniversity of British Columbia
Fundersnot available
KeywordsForagingEcologyDominance (genetics)Adaptation (eye)Human animalBehavioral ecologyGeographyHabitatPerspective (graphical)BiologyLivestock

Abstract

fetched live from OpenAlex

Animal geography, emphasising jointly ‘actant’ behaviour of animals and people, encourages an innovative rethink of animal ecology, including animal strategies, hopes and fears in foraging, in a co‐dependent framework with human behaviour. This paper studies bird–human reactions and feeding interactions in Peterborough, Ontario. It uses ecological survey methods, and also relies on alternative sources, including unique bird behaviours and ‘strategies’, intra‐species differences and human emotions, preferences and feeding strategies. Feeders’ presence attracted birds to non‐habitat areas, altering the ecology of avian presence and foraging, and preferential feeding created serious, previously non‐existent, inter‐species conflicts and inventive, usually successful reactions from birds. There were inter‐species, and in some cases intra‐species, hierarchies of dominance, based on possible avian decisionmaking co‐dependent with the human behaviours in the continually recreated and inflected spaces. This possibly anthropomorphic perspective of bird behaviour moves beyond established theories of adaptation and the relation of human–bird behavioural interactions to bird ecology.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.516
Threshold uncertainty score0.640

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.036
GPT teacher head0.298
Teacher spread0.262 · 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