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Record W4407957205 · doi:10.32469/10355/107472

Whooping cough among Western Cree and Ojibwa fur-trading communities in subarctic Canada : a mathematical-modeling approach

2004· dissertation· en· W4407957205 on OpenAlexaboutno aff
Emily G. Williams

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsSubarctic climateGeographyFur tradeEcologyForestryBiologyArchaeologyHistoryEconomic history

Abstract

fetched live from OpenAlex

"European colonization of the New World, the Americas and Oceania, had a vast influence on the native people of the Americas--both epidemiologically and demographically (Kunitz, 1994). The European domination of the New World was assisted, and in some cases achieved, by the infectious diseases that they carried with them to the Americas and Oceania. The arrival of Old World diseases to the New World resulted in pandemics that devastated and demoralized certain indigenous populations (Ramenofsky, 1987). These are known as virgin-soil epidemics because indigenous populations in the Americas had no previously acquired immunity to these infectious diseases (Crosby, 1976). This thesis uses a computer model to explore the effect of a virgin-soil epidemic in a native population. Epidemic models of two Canadian fur-trade communities were made which reflected the unique structure of each. The first community modeled was the Moose Factory post and nearby Albany in the James Bay area of Ontario and their fur-rich hinterlands during the 1850s. The second community under examination was the Norway House post of the Keewatin District of Manitoba during the period of 1918-1919. Figure 1.1 shows the study communities in their respective provinces within Canada. These communities were chosen because ethnographic data in the Hudson Bay Journals as well as parish records were available for the years under study Pertussis, or whooping cough, and influenza are simulated in these community models. The reasons for choosing pertussis are four-fold. First, pertussis was a significant and threatening infectious disease before the advent of vaccines; and second, an actual pertussis epidemic occurred at Moose Factory during the time period under study (1852-1862). The Hudson's Bay Company Post Journals contain notations of an epidemic of whooping cough at Moose Factory in 1858--a time at which the Anglican Church parish records for Moose Factory became more accurate (Hoppa, 1998). Third, census data for Moose Factory was available for the year 1857. The fourth and last reason for choosing whooping cough for computer model simulations is that results from simulations of pertussis for the Moose Factory and Norway House regions can provide excellent insights into not only infectious diseases before the introduction of vaccines, but also how the structure of a community can affect the outcome of an infectious disease outbreak. Influenza was chosen as a comparison to pertussis for two reasons. The first is that influenza has been modeled by Sattenspiel and Herring (1998) for Norway House, Oxford House, and God's Lake and these can be compared and to the pertussis simulations for the Norway House model in this thesis. Second, results from simulations of different diseases for the same communities can provide insight into how influenza and pertussis differ in terms of the severity of their epidemics. Comparisons of models of infectious disease, such as pertussis and influenza, can help provide an understanding of virgin-soil epidemics where few historical and ethnohistorical data exist."--Introduction.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0030.001
Research integrity0.0010.001
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 head0.061
GPT teacher head0.349
Teacher spread0.288 · 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 designSimulation or modeling
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
Published2004
Admission routes1
Has abstractyes

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