MétaCan
Menu
Back to cohort
Record W2091569707 · doi:10.14288/1.0097287

Nineteenth-century Cape Breton : a historical geography

2010· book· en· W2091569707 on OpenAlexaffabout
Stephen J. Hornsby

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCapeGeographyHistorical geographyColonialismHuman settlementSettlement (finance)EthnologyHistoryArchaeologyHuman geographyEconomic geography

Abstract

fetched live from OpenAlex

This thesis is an historical geography of Cape Breton Island in the nineteenth century. It aims to provide a geographical synthesis of the Island over a hundred years, elucidating the changing relationship between the Island's population and their environment. The Island is considered as a region and the scale of enquiry is at the regional level. The patterns of population, settlement, economy, and society are identified, and the processes that created them are discussed. Finally, the wider relevance of the Cape Breton experience is suggested. Three distinct and largely separate patterns of settlement, economy, and society coexisted in early nineteenth century Cape Breton: the old commercial staple trade of the cod fishery, semi-subsistent family-farms, and industrial coal mining. After the end of the French regime on the Island, British and Nova Scotian capital was invested in the inshore cod fishery, creating specialised fishing settlements, a fishing population, and an economy tied to distant, international markets. Superimposed upon this staple trade in the 1820's was a fee-simple empire of family-farms. Agricultural changes in Western Scotland displaced thousands of people, many of whom fetched up on Cape Breton - among the cheapest of overseas destinations. By mid-century, these immigrants had occupied all the good land and considerable areas of poorer backland. After years of backbreaking work, the settlers had created semi-subsistent farms on relatively cheap land far from markets. About the same time as the Scots arrived, British industrial capital exploited the Island's coal reserves, introducing skilled British labour and steam-technology to win coal for external markets. Until the final decades of the century, the fishery changed little. The cod fishery, organised and supplied by Channel Island and resident merchants, remained dominant. Only in the 1870's was it augmented by the rapid rise of the lobster fishery. Both farming and mining, however, were transformed in the years after 1850. As the agricultural population grew, largely by natural increase, settlement expanded farther onto backland, and growing numbers of subsistent farmers combined agriculture with seasonal work in the coal mines and in Boston. Under the successive stimuli of Reciprocity and the National Policy, the coal industry expanded, attracting more companies, increasing output, and employing more men accommodated in several new settlements. Yet these three economies remained essentially separate. Agriculture supplied some produce and seasonal labour to the fishery and the mines, but the two staples -exploiting different resources and tied to different sources of capital and markets - had no contact. With limited capacity to generate multipliers, a larger, more mature economy did not develop on Cape Breton. Faced with limited land and uncertain returns from the staple industries, many Islanders emigrated to the burgeoning towns and cities of New England. This cycle of immigration, population growth, and emigration, set against an economic background of staple industries and semi-subsistent farming, was common to much of settled Canada in the nineteenth century.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.289
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.001

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 head0.007
GPT teacher head0.201
Teacher spread0.194 · 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; both teacher heads agree on what is shown here.

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

Citations25
Published2010
Admission routes2
Has abstractyes

Explore more

Same topicCanadian Identity and HistoryFrench-language works237,207