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Record W7058724994

‘Not so very fine and healthy as has been reported’: Settlers, Malaria, and the Construction of the Rideau Canal (1826-1832)

2022· dissertation· en· W7058724994 on OpenAlexaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2022
Typedissertation
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsVisionColonialismEmpireSanitationMalariaBritish EmpireWork (physics)Order (exchange)
DOInot available

Abstract

fetched live from OpenAlex

Nineteenth-century understandings of malaria as an environmental illness led Euro-Americans to pathologize certain places as healthy or unhealthy, including Upper Canada where the disease was endemic. Using the construction of the Rideau Canal (1826-1832) as a case study, this thesis asks how British imperial agents reconciled their visions of settlement, agriculture, and growth for Upper Canada with malaria’s presence in the colony. Drawing on the written work, financial reports, and correspondence of John Mactaggart and Lieutenant-Colonel John By, I argue that imperial agents mobilized knowledge of disease from across the British Empire to rationalize their presence in Upper Canada. Mactaggart carefully crafted the personae he presented so that experiences with disease flagged his loyalty and dedication to the imperial project. Meanwhile, By dealt with malaria’s paralyzing effect on canal construction by avoiding disease as much as possible and expanding his vision of the canal so that it healed the landscape it traversed. The canal was subsequently understood as a kind of health infrastructure by settlers. My thesis emphasizes the Rideau Canal’s role as settler colonial infrastructure and situates Canada within the global imperial history of malaria, thus also showing the limitations of current understandings of malaria as a “tropical disease.” My work also adds to our understanding of environment and health’s interconnectedness in pre-Confederation Canada. I end by investigating the environmental longue durée of the canal’s construction in the twenty-first century, focusing especially on those associated with health such as wetland drainage.

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)0.003
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 score0.269
Threshold uncertainty score0.541

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0180.018
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.003
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 head0.016
GPT teacher head0.248
Teacher spread0.232 · 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
Published2022
Admission routes1
Has abstractyes

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