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Record W4406706243 · doi:10.1093/plankt/fbae074

Changing of the editors and JPR's role as a journal for the plankton research community

2025· article· en· W4406706243 on OpenAlexaff
Beatrix E. Beisner

Bibliographic record

VenueJournal of Plankton Research · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Community Ecology and Physiology
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPlanktonOceanographyGeographyEcologyBiologyGeology

Abstract

fetched live from OpenAlex

I am writing as the new Editor-in-Chief (EiC) of the Journal of Plankton Research (JPR) as of 1 January 2025. In this role, I am very much looking forward to some new challenges—hopefully more overall positive than difficult ones. I started as an Associate Editor (AE) with the journal in 2010 during Roger Harris’ tenure and have learned much about the journal through him as well as our retiring EiC John Dolan. I would like to thank John Dolan for his many years of leadership at the Journal of Plankton Research. He is stepping down after 7 years as EiC, following on a decade as an AE. John brought a wealth of publishing experience to JPR after years working to turn the ASLO Bulletin into a full-fledged journal. He has shepherded JPR through challenging and rapidly changing times in scientific publishing, and in the world in general. John has also assured a place in the collective memory for the origins and history of plankton research through many fascinating articles as EiC. He has also been a dedicated updater of our social media posts and populated these with amazing plankton pictures. I thus warmly thank him for his many years of service to the journal. I am also hoping that he will continue to supply fabulous plankton pictures to our community. To introduce myself, I am a freshwater plankton researcher based at the University of Québec in Montréal (UQAM) in Canada. I work primarily on lakes in the region around Montréal, but I have also participated in cross-Canadian lake surveys (the LakePulse Project that took three summers to complete given the size of the country). I have worked extensively on both phytoplankton and zooplankton, with a large focus on functional traits, spatial and community ecology more generally. I bring to the journal a wide range of experience, including an extensive range of approaches: lake surveys, whole-lake manipulation, paleolimnology, mesocosm experiments, lab studies and modelling. I have collaborated with oceanographers on some of my trait-based work and look forward to getting to know the marine plankton literature better as EiC of JPR. We have a great group of oceanographers and limnologists as journal Editors helping to ensure that JPR is publishing the best plankton research, be it more or less salty. In fact, I would love to hear from the plankton research community about your ideas for how to better integrate our collective knowledge, independent of habitat salinity. As freshwaters get saltier and saltwaters get fresher in many parts of our increasingly challenged planet, we will need a greater integration of our knowledge base. To me, one of the strengths of JPR has always been that some cross-fertilization happens somewhat naturally whenever one reads any issue of the journal. Times are challenging in scientific publishing with many new journals populating the landscape and making it difficult for younger researchers to know which represent genuine avenues to reach their scientific community, and which are either too broad or predatory. I see the Journal of Plankton Research as an ideal way to reach other plankton researchers, whether a topic is about small-scale anatomy or behaviour, or about community macroecology. JPR is here for all of us who love to study plankton, and I hope this community of plankton researchers will continue to support the journal through manuscript submissions and reviewing, when called upon. I would like to point out the Oxford University Press (OUP), as a publisher is a “mission-driven, not-for-profit university press”. Continuing from the OUP web page: “our publishing strategy is guided not by shareholder expectations but by the priorities and needs of the communities we support. Any operating surplus serves educational and scholarly objectives, through reinvestment in publishing and educational programs and as financial returns to publishing partners”. I feel this is an important distinction to make in our choice of journals to support through submissions, reviewing and editing. In addition to a change in the EiC as of 2025, we have a few other changes amongst the Associate Editors who help create, shepherd and foster the scientific content of the Journal of Plankton Research. We are welcoming two new AEs. Hans Dam of the University of Connecticut will join us to cover primarily marine plankton ecology and evolution. Covering my former AE position with more of a freshwater focus is Lars-Anders Hansson from Lund University. Our continuing oceanography AEs are Lisa Campbell (Texas A&M University, based out of Kailua, HI) and Marja Koski (Technical University of Denmark). Xabier Irigoien has retired from his position as AE in 2024 and we thank him for his years of service. You can follow the updates to the entire JPR Editorial Board at the journal site here: https://academic.oup.com/plankt/pages/Editorial_Board I am very much looking forward to working with you all in my new role. We are always looking for new ideas for Horizons articles (short, provocative reviews) or for special topic issues. If you have suggestions on these, or on how we might improve JPR, please don’t hesitate to get in touch. I sincerely hope that collectively, we can ensure that the Journal of Plankton Research remains a central repository for global plankton knowledge from the smallest scales to the planetary one.

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)0.027
metaresearch head score (Gemma)0.053
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.973
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.053
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0040.005
Scholarly communication0.0210.008
Open science0.0040.005
Research integrity0.0100.016
Insufficient payload (model declined to judge)0.0240.010

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 head0.065
GPT teacher head0.400
Teacher spread0.335 · 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.

Study designNot applicable
DomainEvaluation
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
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