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Record W240069407

The Truck System in the Cape Breton Fishery: Philip Robin and Company in Chéticamp, 1843–1852

2015· article· en· W240069407 on OpenAlexaffabout
Robert A. Campbell

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsCape Breton University
Fundersnot available
KeywordsCapeBayLedgerWork (physics)FisheryNew englandTruckEconomic historyBusinessEconomyHistoryEconomicsArchaeologyFinancePolitical scienceLawEngineering
DOInot available

Abstract

fetched live from OpenAlex

Following the work of Harold Innis and others, historical studies of the cod fishery of the Maritimes and Newfoundland and Labrador have often presented the industry as having been highly exploitative and as having had a retarding effect on local economic development.1 In one effort to move beyond merely accepting these assessments as givens, Rosemary Ommer set out to examine how the merchant firms that controlled the fishery in the 19th century operated their system of debit and credit and what effect this system had on the local inhabitants working for these firms.2 As a data source, Ommer selected the ledgers and letter books of Charles Robin and Company (crc), the Jersey merchant firm which dominated the industry in the Bay of Chaleur region of the Gulf of St. Lawrence. Among her conclusions, she suggests that, while fishermen may have been forcibly tied to the company through indebtedness prior to 1800, by the first part of the 19th century, the relative isolation of these communities and the formidable cost of outmigration meant that the fishermen “were probably stuck there anyway.”3 Further, while acknowledging

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.329

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0150.007
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.023
GPT teacher head0.215
Teacher spread0.192 · 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 designQualitative
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

Citations1
Published2015
Admission routes2
Has abstractyes

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Same venueProject Muse (Johns Hopkins University)Same topicCanadian Identity and HistoryFrench-language works237,207