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Record W4378965790 · doi:10.3138/cjhh.572-032022

“Still I See a Vast Advantage Here”: The Challenges and Strategies of a Colonial Doctor in 19<sup>th</sup>-Century Guelph, 1834–58

2023· article· en· W4378965790 on OpenAlexvenueaboutno aff
Sandra Lucs

Bibliographic record

VenueCanadian Journal of Health History · 2023
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismHistoryArchaeology

Abstract

fetched live from OpenAlex

In 1834, Dr. Henry Orton immigrated to Guelph, seeking to escape the English class system and attracted by the prospect of land ownership. The analysis of his letters and memoirs offers a rich trove of information about the strategies he pursued to survive in his new home. Joining the scholarly literature based on the analysis of medical casebooks, diaries, and letters, this study seeks to increase understanding of how colonial practitioners made a living. In common with other doctors, Orton describes gruelling work providing poorly paid medical services, competition by alternative practitioners, and seeking financial remuneration through land transactions. Relying on funds from family members in England, he details his partnership in a medical practice, commercial investments, and using his connections as a property owner to obtain paid political and civic offices. In the process, assisted by the emerging liberalism of his adopted country, Henry Orton reveals his contribution to Guelph's development as a middle-class community.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.954
Threshold uncertainty score0.382

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0460.041
Scholarly communication0.0080.003
Open science0.0010.008
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0040.001

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 head0.064
GPT teacher head0.340
Teacher spread0.276 · 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.

Study designNot applicable
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
Published2023
Admission routes2
Has abstractyes

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