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Record W7030386998

Nature's improvement : wildlife, conservation, and conflict in Quebec, 1850-1914

2007· dissertation· en· W7030386998 on OpenAlexfundaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2007
Typedissertation
Languageen
FieldComputer Science
TopicParallel Computing and Optimization Techniques
Canadian institutionsnot available
FundersMcGill University
KeywordsPoliticsFishingState (computer science)EstateSpanish Civil WarVariety (cybernetics)Product (mathematics)Historiography
DOInot available

Abstract

fetched live from OpenAlex

This dissertation presents a new perspective on the history of conservation in North America. In contrast to historiography that locates conservation-oriented approaches to the North American environment as the product of late-nineteenth-century concerns within Canada and the United States, this study links wildlife conservation in Quebec directly to longstanding European land tenure, estate management, and associational strategies. Through a range of materials including state documents, associational records and personal and family papers, I show how advocates of fish and game protection in the province drew heavily on Old World customs and traditions, particularly those of British landowners, who displayed in their varied social, economic, and political commitments an ongoing engagement with improvement. These 'patrician sensibilities,' I argue, formed the basis of the regulatory system that developed in Quebec during the period 1850-1914, first on the remote salmon rivers of the north shore and Gaspe peninsula, and by the First World War on the bulk of the province's best and most easily accessible hunting and fishing territories. In addition to the regulatory strategies that developed during this period, the dissertation deals with forms and limits of resistance on the part of aboriginal and non-aboriginal subsistence, commercial, and sport hunters and fishers. The dissertation's major contribution lies in its demonstration of the longstanding patterns that underpinned the development of conservation strategies in North America. Class and gender are central to the project, and it also has important implications for our understanding of civil society and state formation.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.756
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.265
Teacher spread0.253 · 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

Citations2
Published2007
Admission routes2
Has abstractyes

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