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Record W2476106890 · doi:10.1017/cbo9780511811784.002

Introduction: “A City upon a Hill”

2009· book-chapter· en· W2476106890 on OpenAlexaff
William O. Walker

Bibliographic record

VenueCambridge University Press eBooks · 2009
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

We now have just cause to destroy [the Indians] by all means possible. John Smith, 1622 The West has been a constructive force of the highest significance in our life. Frederick Jackson Turner, 1896 “We shall be as a city upon a hill,” Puritan leader John Winthrop told his fellow voyagers aboard the Arbella in 1630 as they were preparing to land on the Massachusetts shore. Winthrop and the other Puritan saints believed that the civilized, or European, world was holding its collective breath to see whether their godly venture would succeed. What is noteworthy is that Winthrop did not concoct his prediction out of nothing. Europeans had for years persuaded themselves that the Americas truly might be a special, if not utopian, place. Although experience altered that exotic perception of the New World, the conviction that the land across the Atlantic Ocean was a promising locale for exploration and development never really disappeared. Winthrop's words would later come to be seen, particularly during the twentieth century, as a declaration of exceptionalism that set England's American colonies apart from the old European world. As historian Jack P. Greene observes, “The concept of American exceptionalism with its positive connotations was present at the very creation of America.” In America, there would be freedom from the culture of corruption and from tyranny endemic to the English political system and religious establishment.

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)0.000
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.182
Threshold uncertainty score0.608

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1820.070

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 head0.010
GPT teacher head0.160
Teacher spread0.150 · 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
GenreEditorial

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
Published2009
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicAmerican Environmental and Regional HistoryFrench-language works237,207