MétaCan
Menu
Back to cohort
Record W4411041302 · doi:10.1080/00822884.2025.2500255

Following the Fish, Mapping the Way: Cod Routes, Fisher-Pilots and Early Maps of the Grand Banks, 16th–19th Centuries

2025· article· en· W4411041302 on OpenAlex
Gaëlle Dieulefet, Brad Loewen, Bernard Allaire

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTerrae Incognitae · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicColonialism, slavery, and trade
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsFish <Actinopterygii>FisheryGeographyHistoryBiology

Abstract

fetched live from OpenAlex

This paper posits that relations between cod ecology, traditional piloting practices, and transatlantic fishing methods underline the construction of cartographic knowledge of the Atlantic coast of North America and the Grand Banks in the 16th to 18th centuries. Based on an inventory of more than 200 maps showing the Grand Banks from 1500 to 1825, we show France’s preeminent role in mapping the Banks. We identify the early 16th-century role of fisher-pilots in mapping the coastline and the accore, or outer edge of the Banks, two corridors of abundant marine life. A new cartographic idea, showing the Banks as a chain of plateaux, appears in 1543 and increased from 1584 to 1630. Beginning in 1674, the French Admiralty acquired and reproduced charts made by Basque and Breton cartographers who had direct contact with fisher-pilots. The Admiralty began producing its own charts after 1713, using a system of consulting fishing captains.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.263
Teacher spread0.238 · 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