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Record W2516787193 · doi:10.33137/rr.v38i1.8760

Le Roi dans la ville. Anthologie des entrées royales dans les villes françaises de province (1615-1660)

2002· article· fr· W2516787193 on OpenAlexvenueno aff
Marie-France Wagner, Daniel Vaillancourt, Marie-Joëlle Louison-Lassablière

Bibliographic record

VenueRenaissance and Reformation · 2002
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

omy of the English gentry, although pitted, in this case, more often against the farmers, labourers, and especially, the perfidious Irish.When Klein turns to the narration of Ireland, the role of spatial writing becomes both clearer and more sinister.As Klein points out, survey equals surveillance, and the writing of Irish space is an attempt to write out, just as they had measured out, the Irish.The Irish are depicted as nomads, wandering the land without any proper understanding of its worth, or alternately as savages, who had thereby lost any claim to this potentially fertile island.And yet, Spenser's description of the famine of Munster must arouse our pity for these poor creatures who "loked like Anotomies of deathe."As Klein points out so effectively, the complex and long-standing relationship between the English and the Irish (over six hundred years of contact and conflict) do not allow us to see Ireland as another America, or to see the writings about the Irish and Irish space as paralleling those of the new world.Maps is an excellent book, clearly written and elegantly argued, which brings together several disciplinary discourses seldom linked.Most innovative is the focus on Ireland.Despite the "New British history," which has insisted that the history of those islands be seen together, Ireland has been left out of most discussions of early modern English mapping.Klein demonstrates effectively that contrasting visualizations and narratives of English and Irish space increase our understanding of both.This book tells a richly woven story, examining early modern depictions of space in all their complexity.A final concluding section might have brought the various strands together more effectively.Equally, had the publisher placed the illustrations in the text, rather than together in the centre, the maps themselves could have been better integrated.Which, after all, is the point.

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: Empirical · Consensus signal: none
Teacher disagreement score0.641
Threshold uncertainty score0.721

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 studies0.0090.005
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.002

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 head0.022
GPT teacher head0.210
Teacher spread0.188 · 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
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

Citations0
Published2002
Admission routes1
Has abstractyes

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