MétaCan
Menu
Back to cohort
Record W4376111750 · doi:10.1017/9781108955898.010

Going beyond Natural Local Ecosystems, II

2023· book-chapter· en· W4376111750 on OpenAlexaffabout

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook-chapter
Languageen
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsYork University
Fundersnot available
KeywordsFisheryWhalingGeographyHerringFishingSubsistence agricultureFish stockFish <Actinopterygii>Archaeology

Abstract

fetched live from OpenAlex

Late medieval Europeans extended exploitation of fish stocks to marine frontiers previously little affected by intense human predation. Driven by demand since the twelfth century and supported by waves of innovative capture and preservation methods, herring fisheries in the North Sea and Baltic fed millions of northern Europeans with the largest medieval catches known. Stockfish (naturally freeze-dried cod) from arctic Norway went from a regional subsistence product c .1100 to an export trade profiting fishers and merchants alike. Elsewhere entrepreneurs caught, preserved, and exported pike and other fish from the eastern Baltic, hake and conger from the Channel approaches and Bay of Biscay, and migratory bluefin tuna off Sicily and the Gulf of Cadiz, all for consumption a thousand and more kilometers away. Transforming local abundances for distant tables at unprecedented scale drove new capitalized forms of organization and market behaviour. Consumers, merchants, and fishers saw fish as economic objects disconnected from any familiar nature and free for competitive exploitation. Yet besides prospects of infinite abundance the new frontier fisheries posed risks, and not simply those of hazardous access or human conflict. Heavily fished local stocks of herring successively crashed to commercial insignificance when further stressed by environmental changes in the pulsating arrival of the Little Ice Age. But the almost accidental discovery of virgin cod stocks off Newfoundland in the 1490s confirmed the mythic belief that abundance always lay over the next horizon. Thoughts of limits vanished at the eve of modernity.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.874
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.035
GPT teacher head0.178
Teacher spread0.143 · 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
GenreOther

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
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueCambridge University Press eBooksSame topicHistorical and Archaeological StudiesFrench-language works237,207