MétaCan
Menu
Back to cohort
Record W2978590337 · doi:10.3167/hrrh.2018.440301

Introduction

2018· article· en· W2978590337 on OpenAlexvenueno aff
Jeff Horn

Bibliographic record

VenueHistorical Reflections/Réflexions Historiques · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
FundersArizona State University
KeywordsLiminalityModernityPhenomenonHistoryArt historyVariety (cybernetics)Media studiesSociologyArtAestheticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Through a variety of disciplinary lenses, this innovative forum, coedited with Victoria Thompson, investigates a particular cultural space and time, namely the emergence of proto–roller coasters known as montagnes russes or “Russian mountains” in Paris in 1817. Peggy Davis, Sun-Young Park, and Christine Haynes depict the early years of the Restoration (1814/1815–1830) as a liminal moment in the emergence of modernity. Although this forum began as a panel at the 2017 Annual Meeting of the Society for French Historical Studies, the authors have extended and improved their pieces significantly. Taken together, they show that as foreigners flocked to Paris and the French adjusted to diminished circumstances in the aftermath of Napoleon’s second defeat, identities were in flux. This forum explores how and why the montagnes russes became such a cultural phenomenon and suggests their role in forging a new French identity in the wake of war and revolution.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.654
Threshold uncertainty score0.932

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0070.004
Open science0.0020.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.3460.169

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 head0.045
GPT teacher head0.275
Teacher spread0.230 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueHistorical Reflections/Réflexions HistoriquesSame topicHistorical Studies and Socio-cultural AnalysisFrench-language works237,207