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Record W2941150376

Curatorial Report #108: List of Fish found in the Freshwaters of Nova Scotia

2019· article· en· W2941150376 on OpenAlexaboutno aff
Andrew Hebda

Bibliographic record

VenueNova Scotia Museum · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaFaunaFish <Actinopterygii>NomenclatureBrackish waterTaxonomy (biology)GeographyFreshwater fishBiologyFisheryEcologyZoologyArchaeologySalinity
DOInot available

Abstract

fetched live from OpenAlex

Full title: List of Fish found in the Freshwaters of Nova Scotia A review of Common Names and the taxonomy applied to these species with synonyms used in the literature relating to Nova Scotia, including Mi’kmaw names for fish Abstract: Of the 58 species of freshwater and brackish water fish historically reported from Nova Scotia waters most have undergone some form of nominal revision. This document summarizes names (both scientific and common) for these species, including those which are, in a strict sense, synonyms as well as those which may have been used commonly or possibly erroneously in the past. The document includes English, French and Mi’kmaw names. In many earlier publications, names for similar European species had been applied to this fauna as a matter of course. Due to the broad historical interest in this groups of animals both in the public as well as scientific communities, the literature reviewed encompasses a substantial portion of North-East North America. This document also serves as a bibliographic summary of much of the earlier literature relating to Nova Scotia fish fauna.

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)0.005
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: Empirical · Consensus signal: none
Teacher disagreement score0.199
Threshold uncertainty score0.432

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0120.019
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1290.078

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 head0.018
GPT teacher head0.249
Teacher spread0.231 · 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
Published2019
Admission routes1
Has abstractyes

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