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Record W3157555066 · doi:10.1007/s13592-021-00841-1

Protection of honeybees and other pollinators: one global study

2021· article· en· W3157555066 on OpenAlexaff
Kennedy S. Halvorson, R. Baumung, Grégoire Leroy, Chao Chen, P. Boettcher

Bibliographic record

VenueApidologie · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsYork UniversityUniversity of British Columbia
Fundersnot available
KeywordsPollinatorBiologyPollinationEcologyHabitatFood securityCompetition (biology)InsectPollenAgriculture

Abstract

fetched live from OpenAlex

Insect populations are declining globally. Most crops rely on insect pollination, putting food security at risk. Honeybees are important pollinators and have been used widely in public awareness campaigns. This study surveyed countries about the status of their pollinators and programmes for monitoring and management. Responses were received from 273 persons from 108 countries. Apis mellifera was reported by nearly all countries. Many countries (72%) routinely collect honeybee data, and populations are stable or increasing (77% of countries). Other pollinators receive less attention, although their populations are dwindling in most (70%) countries. Conservation and protection are more commonly practiced for honeybees. Most threats, such as habitat loss and pesticides, are shared by all pollinators. Therefore, conservation measures to decrease these threats would be efficient, provided that competition among species is avoided. Monitoring of pollinator populations should be increased.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.167
GPT teacher head0.263
Teacher spread0.096 · 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 source (direct Gemma or distilled Codex), 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

Citations29
Published2021
Admission routes1
Has abstractyes

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