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Record W3207453138 · doi:10.29173/pathways22

How Bizarre, How Bizarre, How Bees Are: Domus and Umwelt in the Multispecies Entanglements of Humans and Honeybees

2021· article· en· W3207453138 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenuePathways · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsBeekeepingNegotiationUmweltApiaryAgricultureEnvironmental ethicsSociologyEcologyBiologyPhilosophySocial scienceCommunication

Abstract

fetched live from OpenAlex

Relationships between humans and honeybees are complex because they are deeply entangled. These entanglements take on many forms, such as those present in the honeybees’ self-centered worlds—umwelt—as well as the intersections in their mutually constituted lived world, or their domus. As honeybees are involved in pollinating up to 85 percent of the world’s agricultural crops, understanding these entanglements is a vital component of environmental anthropology. To high­light these interconnected relationships as they apply to commercial beekeepers, this paper explores the case study of an Australian almond farmer named Mark deCaux who has incorporated beekeeping into his agricultural practices to ensure his crops are adequately pollinated. Since adopting beekeeping, his crops have grown his apiary to a commercial-sized practice. Through the lens of his experiences, the concepts of umwelt and domus emphasize the intricate negotiations between humans and honeybees that constitute their mutually entangled relationships.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.530
Threshold uncertainty score0.473

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 communication0.0000.000
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 head0.069
GPT teacher head0.199
Teacher spread0.130 · 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