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Record W2706805892

From swords to ploughshares : the context for Highland soldier settlement in Nova Scotia, 1710-1775

2003· article· en· W2706805892 on OpenAlexaboutno aff
Donald Brian Smith

Bibliographic record

VenueSaint Mary's University Institutional Repository (Saint Mary's University) · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaSettlement (finance)Context (archaeology)Nova (rocket)Political scienceGeographyArchaeologyEngineeringBusiness
DOInot available

Abstract

fetched live from OpenAlex

T h is dissertation exam ines the circum stances whereby Scottish Hig^iland soldiers becam e settlers in N ova Scotia prior to the American Revolution.It details the process, com m encing in the late seventeenth century, o f the gradual integration o f H ig^an d regim ents in to the regular British Arm y and the deploym ent o f these units to N orth America.It also dem onstrates h ow th e garrisoning o f these soldiers in N ova Scotia was designed to both contain the French and deal w ith their allies, the indigenous Mi'kmaq.It argues that the policy to allow discharged soldiers to settle in the colony was a product o f th ese circum stances.W hile it has proven difGcult to locate individual soldiers, by either rank or nationality this thesis has uncovered enougb evidence to dem onstrate that Highland so l diers were indeed settled in the colony prior to 1775 and that this aspect o f N ova Scotian settlem ent history is worthy o f further investigation.A cknow ledgem ents I w ould like to thank D r M ichael Vance, m y thesis supervisor at St. Mary's University for his flexibility and shared interest in many aspects o f Scottish history that Erst attracted m e to St. Mary's to do my graduate program.It was D r. Vance's extensive know ledge, guidance, Eiendship and padent leadership that kept m e m oving forward th r o u ^ an extended study process.W ithout his support, encouragem ent and gentle persua sions, I could n o t have maintained the direction o f my studies, and could easily have b ecom e a casuality along fhe road o f academ ic pursuit.I w ould also like to thank D r. John Reid o f St. Mary's University for opening my eyes to the MlTCmaq o f N ova Scotia and their lo n g and difEcult series o f con flicts w ith the British throughout the greater part o f the eigjiteenth century Thanks also to D r. Ron M cD onald, Manager o f Cultural A ffairs for the Hah&x D efen ce C om plex, D epartm ent o f Canadian H edtage, for his leadership and insig^tfulness in to the history o f th e British A rm y especially in N ova Scotia.I w ould b e rem iss i f I did n o t also thank Dr. Ian D ow biggin, Chair o f the D epartm ent o f H isto ry and Dr.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.003
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.013
GPT teacher head0.206
Teacher spread0.193 · 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

Citations2
Published2003
Admission routes1
Has abstractno

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