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Record W2025866070 · doi:10.1080/14888386.2002.9712613

Exploring the diversity of flies (Diptera)

2002· article· en· W2025866070 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.

Bibliographic record

VenueBiodiversity · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsBiodiversityDiversity (politics)BiologyEcologyTourismGeographyPollinationSociology

Abstract

fetched live from OpenAlex

ABSTRACT Flies (Diptera) are an important but underappreciated part of our planet's biodiversity. With over 124,000 described species, and countless more awaiting discovery, they are one of the most diverse groups of organisms on Earth. This series of ten papers explores the diversity of Diptera. Several authors describe the diversity of dipteran lifestyles and behaviours, both as larvae and adults. They also reveal the various roles that these animals play in the ecological interactions of the planet—countless numbers of flies feed on plants, control pest arthropods (including other flies!), break down rotting vegetation and excrement, pollinate flowers, provide food for other species, and of course, spread diseases. Indeed, because of their role as vectors of disease, flies have almost single-handedly prevented the economic development of countries in tropical Africa and South America. But flies are used in positive ways by humans, too, and several authors describe their use in forensic science, molecular research, and even as "main attractions" in the tourism industry. The intent of this series of papers is to encourage a broader interest in Diptera that, ideally, will lead to further research and conservation efforts.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.999

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.289
GPT teacher head0.224
Teacher spread0.066 · 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