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Record W4234245675 · doi:10.24124/2002/bpgub261

Factors influencing juvenile sheltering in sea urchins (Strongylocentrotus Franciscanus and S. Droebachiensis)

2002· dissertation· en· W4234245675 on OpenAlexaff
Michael Trent Nishizaki

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsStrongylocentrotus droebachiensisJuvenileFisheryBiologyPopulationKelpGeographySea urchinEcologyDemography

Abstract

fetched live from OpenAlex

Juvenile red sea urchins (Strongylocentrotus franciscan us) are often found under the spines of adults, but those of the green urchin (S. droebachiensis) do not shelter to the same extent. As broadcast-spawners with free-swimming larvae, two questions arise: (1) why and; (2) how does sheltering occur? Juvenile S. franciscanus increased sheltering in response to increased predation risk and hydrodynamic factors, whereas juvenile S. droebachiensis did not. Sheltering afforded protection from a predatory starfish (i.e. Pycnopodia helianthoides) in S. franciscanus but not S. droebachiensis. Water velocities were reduced by 90% within 5 cm of adults where juveniles sheltered. Field surveys confirmed that juvenile abundance is positively correlated with increased water motion. However, results indicate that juveniles compete with adults for kelp, displaying lower growth rates when exposed to adults. Juvenile S. franciscanus displayed consistent movement towards a secondary chemical signal released by adults exposed to P. helianthoides, whereas adults did not respond in the same manner. These results highlight the importance of post-settlement processes and call for the inclusion of juvenile stages in predictions of recruitment and population dynamics.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.201
Teacher spread0.189 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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