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Record W7137495786

Political Reason and the Language of Change

2023· other· en· W7137495786 on OpenAlexfundno aff

Bibliographic record

VenueDirectory of Open access Books (OAPEN Foundation) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersJernkontoretQueen's UniversityEesti TeadusagentuurUniversity of CambridgePrinceton UniversityMcGill UniversityUniversity of OxfordHarvard UniversityUniversity of Pennsylvania
KeywordsPoliticsEnlightenmentPolitical historyPolitical changeIntellectual historyLanguage changeNatural (archaeology)Reform movement
DOInot available

Abstract

fetched live from OpenAlex

FORTHCOMING OPEN ACCESS TITLE This collection of essays re-examines ideas of change and movements for change in early modern Europe without presuming that "progressive" change was the outcome of "reforms". "Reform" today implies rational, incremental change to public institutions and procedures. "Improvement" has a more general application, emphasising the positive outcome to which "reform" is oriented. But the language of reform is today used of historical personalities and movements that did not themselves use the term, and who in many cases were not necessarily seeking the progressive change that we would understand today. The activities of "reform" were embedded in contemporary politics, and while "improvement" was part of a contemporary vocabulary, its real presence has been obscured by the range of natural languages in which it was expressed. Contributors to this volume seek to establish what was meant by contemporary usage. Bringing together scholars of Russia, Southern, Western, Central and Northern Europe, this collection sheds new light on both common and divergent features of a political process too often treated as a uniform movement towards modernity. This volume is a useful resource for students and scholars interested in Enlightenment studies, intellectual history, and conceptual history in early modern Europe.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.013
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.021
Scholarly communication0.0110.007
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0130.002

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 head0.161
GPT teacher head0.442
Teacher spread0.281 · 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
Published2023
Admission routes1
Has abstractyes

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