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Record W7015428314

Stepping stones to the New World: Islandness and migration from Southeastern Ireland to Newfoundland, Prince Edward Island and the Miramichi of New Brunswick 1700 - 1850

2015· article· en· W7015428314 on OpenAlexaboutno aff

Bibliographic record

VenueIslandScholar (University of Prince Edward Island) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsSettlement (finance)IrishImmigrationHuman settlementEthnic groupRiver valley
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this case study is to investigate the role islands play in their own\ncolonization and settlement by human societies. It examines the early nineteenth century\ncolonization by Southeastern Irish of two islands – Newfoundland and Prince Edward\nIsland – and a section of the mainland, the Miramichi River Valley of New Brunswick. The\naim of this nissological (study of islands) examination is to increase the knowledge of the\nhistory of the Atlantic portion of British North America and the role islandness\n(characteristics of islands) played in this history. As Ian Ross Robertson warns, the history\nof an island cannot be understood without considering the role of the history and heritage\nof the ethnic groups that settled there.1 Furthermore, it cannot be understood without also\nstudying the interactions of the settlers with their island environment or in their mainland\nenvironment.\nThe methodology is to isolate the role of islandness by establishing the parameters\nof a “controlled” retrospective historical study based on the research of John J. Mannion.2\nHe examined the cultural transfer and adaptation of Southeastern Irish immigrants to\nNewfoundland Island, the Miramichi River Valley and an area near Peterborough, Ontario.\nThis current study expands his methodology to Prince Edward Island and the additional\nrole of islandness in the settlement of the three study areas. (The area near Peterborough is\nnot included in this current study.) Following a chapter on Ireland, each study area has its\nown chapter, taking a brief look at the natural history of each study area and its history of\nEuropean settlement with the focus on the Southeastern Irish in the first half of the\nnineteenth century. This includes an examination of the initial pattern of settlement, a brief\ndescription of the ethnic and social makeup of the study area and then a short focus on the\nelite controlled, resource-based economy of each study area. The final chapter makes\ncomparisons of the study areas and draws conclusions about the effects of islandness on\nthem. My thesis will attempt to show the actual effects of islandness on the historical\ndevelopment of the study areas.\nThe significance of the inclusion of the Miramichi is that it acts as a control for the\nhypothesis: that for the Southeastern Irish migrants, the immigration experience,\nsettlement patterns, ethnic and social makeup, and elite controlled primary resource\neconomy on the islands, differed from their compatriots on the mainland, precisely\nbecause they had settled on islands with characteristics of islandness. By examining\nmigrants who emigrated from the same place, for the same reasons, by the same means and\nabout the same time period we are performing a controlled experimental study. The major\nconclusion to this research is that in fact the evidence does support the hypothesis -\nislandness did have an impact on the evolution of the settlement of the islands

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.243
Teacher spread0.227 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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