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Record W4407859886 · doi:10.1093/plankt/fbaf008

2025 Cushing Prize

2025· article· en· W4407859886 on OpenAlexaff
Beatrix E. Beisner

Bibliographic record

VenueJournal of Plankton Research · 2025
Typearticle
Languageen
FieldMedicine
TopicMedical and Biological Sciences
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

The annual Cushing Prize honors the memory of David Cushing, the Founding Editor of Journal of Plankton Research. The Cushing Prize distinguishes the best paper by an early career stage scientist (aged 30 or younger) published in the Journal of Plankton Research in the past year. The four active Editors of the Journal of Plankton Research in 2024 selected the winning paper, from among the 24 published eligible submissions last year. The prize spotlights, and we hope helps to foster, interesting and high-quality papers by young scientists that David Cushing so actively supported. The 2025 David Cushing Prize for the best paper by an early career scientist published in 2024 has been awarded to Dr Ashley Tripp for her paper, “Evidence for adaptive strategies in larval capelin on the northeastern coast of Newfoundland, Canada” with co-authors Hannah Murphy and Gail K. Davoren. Their study focuses on Newfoundland capelin, an important forage fish species that funnels energy through a narrow food web based on its central trophic position. Capelin stocks collapsed in the early 1990s in several north Atlantic locations, including the Newfoundland and Labrador shelf off eastern Canada. However, in this latter location, the population has not shown recovery. The goal of Dr Tripp’s research was to examine which adaptive life history strategies this capelin population has used to respond to environmental variability. The authors compare the “match-mismatch” hypothesis with a bet-hedging strategy involving extending spawning and hatching periods to spread risk. They collected samples of eggs, larval fish, invertebrate predators and zooplankton prey over four summers. Dr Tripp’s study found some support for the “match-mismatch” hypothesis at their intertidal site based on prey availability. However, larval densities were not always well coordinated with low predator biomass, especially jellyfish; nor with ideal temperatures. Most results supported the bet-hedging strategy because of high variability in larval emergence timing and sizes. The authors did not note any significant differences in larval condition between the intertidal habitat and a deeper subtidal zone where capelin go when waters are warmer. This observation is important if climate warming entices Newfoundland capelin to spawn more often in the subtidal zone. Dr Tripp’s study is not only an interesting read of life history strategies and adaptations in unpredictable environments, but also provides observations critical for an eventual recovery of these important planktonic fish stocks. Dr Ashley Tripp completed her B.Sc. at the University of Guelph, Canada, majoring in marine and freshwater biology. From there she moved to the Canadian prairies to complete her M.Sc. at the University of Manitoba with a focus on physiology and molecular biology of freshwater crustaceans. Returning to her ecology roots, Dr Tripp then began a PhD program with Drs. Gail Davoren (University of Manitoba) and Hannah Murphy (Fisheries and Oceans, Canada), which she completed in November 2023. Her thesis examined factors impacting larval capelin abundance and distribution in coastal Newfoundland and her Cushing Prize-winning paper was one of her thesis chapters. Ashley’s research focus continues to be fish early life history, inspired by Dr Cushing’s own work, and exploring the use of novel tools, such as otolith chemistry, to answer large scale questions that continue to impede adequate management and conservation efforts. These interests have transitioned Dr Tripp well into her current post-doc position with Dr Gail Davoren at the University of Manitoba where she has been conducting work on the habitat suitability and connectivity of forage fish in coastal Newfoundland incorporating fishers’ knowledge with field-based sampling. The winning article was published online on March 3, 2025, and appeared on pages 126–140 of volume 46 of the Journal of Plankton Research. It is available here: https://doi.org/10.1093/plankt/fbad052.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.337
Threshold uncertainty score0.946

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.3370.199

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 head0.161
GPT teacher head0.474
Teacher spread0.313 · 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
Domainnot available
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractno

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