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Record W4417098117 · doi:10.11646/zootaxa.5727.1.4

Daniel H. Burckhardt at 70—an appreciation

2025· article· en· W4417098117 on OpenAlexaff
David Ouvrard, Liliya Štarhová Serbina, A. M. Franquinho Aguiar, Jowita Drohojowska, Susan E. Halbert, Anantanarayanan Raman, Anamika Sharma, Zolile Maseko, Evans Mauda, Beatriz Zarcos Duarte, Geonho Cho, Diana Isabel Rendón-Mera, Man‐Miao Yang, Diana M. Percy, Igor Malenovský, Saskia Bastin, Dalva Luiz de Queiroz

Bibliographic record

VenueZootaxa · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera Taxonomy and Distribution
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTributeExtant taxonTaxonomy (biology)Natural historyEntomologyBiography

Abstract

fetched live from OpenAlex

PD Dr Daniel H. Burckhardt (Figs 1-4) turned 70 on 26 July 2023.His extensive body of work on the taxonomy of insects, initiated even before his doctoral thesis on Western Palaearctic Aphalaridae in 1983, has since expanded to encompass all major psyllid groups (Hemiptera: Sternorrhyncha: Psylloidea), both extant and extinct, but also moss bugs (Hemiptera: Coleorrhyncha) and several families of beetles (Coleoptera, mainly Passandridae, but also Jacobsoniidae, Pterogeniidae and Staphylinidae). These contributions have had a profound and lasting impact on our global understanding of these relatively small and often overlooked groups of insects.The biographical details of Daniel Burckhardt's career and life will not be revisited here, as they have already been thoroughly documented elsewhere. In terms of his tireless dedication and remarkable productivity, the comprehensive list of his publications at the end of this article speaks for itself.Another telling measure of his influence within entomology is the number of PhD students he has mentored, formally or informally, many of whom have gone on to establish successful careers in leading research institutions and natural history museums across Europe and beyond. At a time when taxonomic expertise is rapidly declining, with serious implications for biodiversity research, agriculture and conservation, his intellectual legacy, marked by rigour, precision, and clarity, has been effectively passed on to the next generation.This tribute aims above all to highlight the personal and professional impact Daniel Burckhardt has had on so many colleagues and collaborators. Rather than a conventional biography, it offers a space for those who have worked with him to share their experiences and anecdotes, and to reflect on the influence he has had on their scientific journeys.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.204
Threshold uncertainty score0.682

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.2040.169

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 head0.017
GPT teacher head0.224
Teacher spread0.207 · 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 designNot applicable
Domainnot available
GenreCommentary

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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