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The origins and development of the English diaspora in North America

2017· book-chapter· en· W4234505199 on OpenAlexaboutno aff
Tanja Bueltmann, Donald M. MacRaild

Bibliographic record

VenueManchester University Press eBooks · 2017
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIrishImmigrationScholarshipHegemonyEthnic groupContext (archaeology)Gender studiesDiasporaColonialismGeographyEmigrationPolitical scienceSociologyHistoryAnthropologyPoliticsLaw

Abstract

fetched live from OpenAlex

Chapter 1 frames the following discussion of English associations and ethnic activities by charting English migration to North America from the mid-1700s. The earlier emigrants carried with them cultural characteristics, habits and customs that were critical in shaping the social and civic life that marked the English as foundational and invisible within America society. We problematize existing scholarship and challenge the assumption that the hegemony of the English language and the early immigrants’ foundational context provided all subsequent English migrants with a permanent and unchanging advantage over other migrant groups by default. Ordinary English migrants faced the same challenges and hardships as any other group; working-class immigrants in particular dealt with many common economic pressures regardless of their origins. Ultimately, the English had much in common with those of other backgrounds. The English settled in all colonies, counties and states; they were loaded towards the urban and industrial areas, but the focus upon the north-east—in both the colonial and early Republican period, as well as north of the border in what was to become Canada—gradually gave way to greater diffusion: a diffusion in line with the spread of ethnic associations. In the nineteenth century, English-born immigrants—the mainstay of English ethnic associations—came to be hugely out-numbered by several immigrant groups, most notably the Irish, with whom innate tensions were reprised in the new country. Chapter 1 explores such factors as a frame for the study that follows.

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)0.000
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 score0.939
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.005
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.190
Teacher spread0.168 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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Same venueManchester University Press eBooksSame topicCanadian Identity and HistoryFrench-language works237,207