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Record W2147834931

Morphological and Biometric Study of Bones of Buccal Apparatus NS Fish Archaeological Interest (Curatorial Report #96)

2002· article· en· W2147834931 on OpenAlexaboutno aff
Alfonso Rojo

Bibliographic record

VenueNova Scotia Museum · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaOsteologyFish <Actinopterygii>ArchaeologyFisheryGeographyResource (disambiguation)Natural historyBiologyEcology
DOInot available

Abstract

fetched live from OpenAlex

This pilot work, although incomplete, will fill a gap in Nova Scotia faunal studies since, to my knowledge, there is not yet an organized reference collection of fish bones available to zoo archaeologists in the area, nor a systematic description of the osteology of Nova Scotia fishes. Although only fishes from Nova Scotia were studied, the conclusions from this work can be applied, with some reservations, to fishes of other Maritime Provinces, Newfoundland and the state of Maine (U.S.). All fishes studied for this report have been deposited in the collection of the Nova Scotia Museum of Natural History, in Halifax. N. S. A personal collection from previous years, already donated to the Museum, has been partially incorporated into the present study. _____________________________________________________________________ Please note: This resource is presented as originally published. The content of older reports may not reflect the current state of knowledge on the topic documented. Please be aware of this when using this resource.

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)0.001
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 score0.700
Threshold uncertainty score0.597

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.064
GPT teacher head0.270
Teacher spread0.207 · 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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