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Record W2046945355 · doi:10.1353/hsp.0.0028

Champlain’s Dream : An Interview with David Hackett Fischer

2009· article· en· W2046945355 on OpenAlexaboutno aff
Donald A. Yerxa

Bibliographic record

VenueHistorically speaking · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsDreamArt historyArtHistoryPsychologyPsychotherapist

Abstract

fetched live from OpenAlex

David Hackett Fischer rescues Samuel De Champlain from neglect—at least in American textbooks—in his latest offering, Champlain’s Dream: The Visionary Adventurer Who Made a New World in Canada (Simon and Schuster, 2008). Fischer brings to Champlain’s Dream the same combination of exhaustive research, personal familiarity with the sites about which he writes, and elegant prose that has won him so much praise in the past, including the 2005 Pulitzer Prize in history for Washington’s Crossing. Fischer, University and Warren Professor of History at Brandeis University, portrays Champlain as a complex character. The founder of Quebec and builder of New France, for instance, was also an important figure for French humanism. Senior Editor Donald A. Yerxa interviewed Fischer on December 4, 2008.

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)0.003
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.310
Threshold uncertainty score0.616

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0290.012
Scholarly communication0.0050.006
Open science0.0010.003
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0050.001

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 head0.042
GPT teacher head0.228
Teacher spread0.186 · 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
Published2009
Admission routes1
Has abstractyes

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