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Record W7128627441 · doi:10.15468/bnrx8c

Acadia University: Juvenile Fish Assemblages collected in bays along the Atlantic Coast of mainland Nova Scotia during summers of 2005 and 2006

2017· dataset· en· W7128627441 on OpenAlexaffabout
Shannon E O'Connor, OBIS Canada

Bibliographic record

VenueOpen MIND · 2017
Typedataset
Languageen
Field
Topic
Canadian institutionsFisheries and Oceans CanadaAcadia University
Fundersnot available
KeywordsBayNova scotiaJuvenileMainlandJuvenile fishFish <Actinopterygii>

Abstract

fetched live from OpenAlex

This resource contains species distribution records associated with a study that examined coastal fish assemblages and the physical features of nearshore ecosystems with the objective of determining relationships between geophysical characteristics and biotic communities. Content from this study formed the basis of a university thesis for the degree of Master of Science (Biology). The thesis title was 'Relationships between Juvenile Fish Assemblages and the Physical Features of Bays along the Atlantic Coast of Mainland Nova Scotia, with Implications for Coastal Marine Protected Areas' (O'Connor 2008). Twenty bays were sampled for juvenile fish along the coast of mainland Nova Scotia, from Chedabucto Bay to the Bay of Fundy. Using a beach seine, 19,505 individual fish, representing 35 unique species, were caught during two field seasons (June – October 2005, June – September 2006).

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)0.002
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: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.438
Threshold uncertainty score0.882

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.008

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 head0.028
GPT teacher head0.285
Teacher spread0.257 · 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
GenreDataset

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
Published2017
Admission routes2
Has abstractyes

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