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Record W3200279884 · doi:10.1017/cbo9780511618185.006

FROM SEGREGATION TO INTEGRATION

2005· book-chapter· en· W3200279884 on OpenAlexaboutno aff
Charles Tilly

Bibliographic record

VenueCambridge University Press eBooks · 2005
Typebook-chapter
Languageen
FieldArts and Humanities
TopicEuropean Political History Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsFrontierPower (physics)HistoryEconomic historySpanish Civil WarArchaeologyGeographyAncient historyEthnology

Abstract

fetched live from OpenAlex

By 1720, French imperial forces had long since established a serious presence in North America. Although they had lost some ground to the aggressive English since 1700, the French still laid claim to the eastern part of what we now call Canada except for Hudson's Bay, Acadia, and Newfoundland, to northern sections of what we now call the American Midwest, and to a significant share of the Mississippi basin. Québec, Montréal, Detroit, St. Louis, Mobile, and New Orleans had all come into being as French cities and fortresses. French merchants, soldiers, and administrators controlled the major waterways linking the continental interior to Europe. Violence, intrigue, and venality intertwined in their imperial system of rule. The French held their ground until the 1760s under incessant pressure from Spanish and English competitors including frontier settlers. Defeat by the English in the Seven Years War (1756–1763) radically reduced France's North American territories. Up to then, nevertheless, the French still had some hope of becoming the dominant power in North America. Despite their looming presence on the continent, the French never achieved more than contingent domination over the Indian populations they encountered from their earliest arrival in North America. They tried, but their very efforts to conquer Indian peoples or to push them aside for French settlements created new forms of connection among previously distinct villages, bands, tribes, and federations. Remember the three sorts of resources that rulers generally apply to subordinate populations: coercion : all concerted means of action that commonly cause loss or damage to the persons, possessions, or sustaining social relations of social actors […]

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.017
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.011
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0120.002

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 head0.034
GPT teacher head0.191
Teacher spread0.157 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueCambridge University Press eBooksSame topicEuropean Political History AnalysisFrench-language works237,207