MétaCan
Menu
Back to cohort
Record W2172696414

Report on the fish otolith collection at the Nova Scotia Museum of Natural History (Curatorial Report #105)

2015· article· en· W2172696414 on OpenAlexaboutno aff
Alfonso Rojo

Bibliographic record

VenueNova Scotia Museum · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsnot available
Fundersnot available
KeywordsOtolithNova scotiaFish <Actinopterygii>FisheryBiologyGeographyArchaeologyMarine fishOceanographyGeology
DOInot available

Abstract

fetched live from OpenAlex

Fish otoliths, commonly called earbones or earstones are often the only identifiable remnants of fish in the archeological or paleontological record. Each species has uniquely-shaped otoliths, which have been found to correlate (through morphometric analysis) with standard measurements of the fish from which they came.  This report outlines the findings of the analysis of the otolith collection comprising samples from 976 specimens of 62 species belonging to 28 families of fish collected by the author.  The analysis compares the sex, length and weight of the individual species with a defined set of otolith measurements, with descriptions of the respective otoliths and correlations between fish length and otolith size. A description is also provided for each species including otolith morphology and micrographs. These specimens represent collections from selected freshwaters in Canada (Ontario), North Atlantic waters, marine waters off British Columbia and the Northwest Territories as well as from marine waters off Florida and  Argentina. All specimens described and measured  have been deposited in the Zoology collection of the Nova Scotia Museum in Halifax.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.000

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 head0.048
GPT teacher head0.272
Teacher spread0.224 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueNova Scotia MuseumSame topicMarine and fisheries researchFrench-language works237,207