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Record W7045514370

Annotated editon of Rev. Dr. Andrew Brown's manuscript: "Removal of the French inhabitants of Nova Scotia by Lieut. Governor Lawrence & His Majesty's Council in October 1755"

2011· article· en· W7045514370 on OpenAlexaboutno aff

Bibliographic record

VenueSaint Mary's University Institutional Repository (Saint Mary's University) · 2011
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaGovernorGeorge (robot)Work (physics)
DOInot available

Abstract

fetched live from OpenAlex

This study concerns one of the earliest known historical accounts of the Acadian Deportation, written by the Reverend Doctor Andrew Brown in the late eighteenth and early nineteenth centuries. Based on primary documents, eye-witness accounts and Acadian oral tradition, the manuscript entitled "Removal of the French inhabitants of Nova Scotia by Lieut. Governor Lawrence & His Majesty's Council in October 1755" offers a unique and valuable perspective on the events surrounding the removal of the Acadian population from Nova Scotia in 1755 and a vivid portrayal of Acadian life before and after the Deportation. Although the primary purpose of this thesis is to provide an annotated edition of the manuscript in an effort to determine the authenticity of the information therein, a broader look at Brown, as an individual, as a man of his times and as an historian, is presented for a more holistic interpretation of the document.

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)0.002
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.819
Threshold uncertainty score0.360

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0880.058

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 head0.022
GPT teacher head0.194
Teacher spread0.172 · 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 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

Citations0
Published2011
Admission routes1
Has abstractno

Explore more

Same venueSaint Mary's University Institutional Repository (Saint Mary's University)→Same topicMagnetic confinement fusion research→French-language works237,207→