MétaCan
Menu
Back to cohort
Record W2612706418 · doi:10.3138/chr.3783

Pioneering a Rural Identity on the Canadian Shield: Tourism, Household Economies, and Poor Soils in Muskoka, Ontario, 1870–1900

2017· article· en· W2612706418 on OpenAlexfundvenueaboutno aff
Andrew Watson

Bibliographic record

VenueCanadian Historical Review · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersUniversity of Saskatchewan
KeywordsTourismFrontierAgrarian societyIdentity (music)AgricultureEconomyRural areaPolitical scienceGeographyEconomic growthSociologyPolitical economyEconomicsArchaeologyLaw

Abstract

fetched live from OpenAlex

At the end of the nineteenth century, Euro-Canadians extended rural society into new frontier areas unsuited to agriculture. These efforts were informed by a perspective that conflated rural and agrarian – a perspective that continues to dominate historians' thinking about rural societies. The resettlement of Muskoka demonstrates how the Canadian Shield's poor soils forced pioneers to rethink these assumptions and, in places adjacent to the lakes, construct a rural identity based on a tourism economy. At the same time as backwoods settlers experimented with shorter-lived opportunities in the agro-forestry economy, settlers along the lakeshore embraced the opportunities of a largely forested landscape to sell accommodation, fresh foods, and services to summer visitors. The Muskoka story therefore sheds light on the critical role that local household economies played in supporting tourism, an aspect of tourism that historians have generally ignored. Furthermore, this case study offers new insights into the role that tourism played in crystallizing a specific type of rural identity. Rather than simply serving as a replacement, supplement, or challenge to an older farming or resource extraction economy, tourism defined Muskoka's social and economic identity from the earliest stages of resettlement.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.767
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.243
Teacher spread0.203 · 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 teacher head, 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

Citations7
Published2017
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Historical ReviewSame topicCanadian Identity and HistoryFrench-language works237,207