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Record W3091746030 · doi:10.4000/ejas.16329

Kirsten MacLeod, American Little Magazines of the Fin de Siècle: Art, Protest, and Cultural Transformation

2022· article· en· W3091746030 on OpenAlexaboutno aff
Stamatina Dimakopoulou

Bibliographic record

VenueEuropean Journal of American Studies · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsFin de siecleTransformation (genetics)HistoryLiteratureArtArt historyChemistry

Abstract

fetched live from OpenAlex

and Cultural Transformation, Kirsten Macleod offers a compelling cultural history and posits these publications as an important force-field in a context where shortly after modernist magazines appeared.MacLeod calls for the expansion of the field of modern periodical studies so as to include the fin-de-siècle periodicals within its scope, despite that fact that their "democratic character' and their "highly personalized nature" have rendered [them] largely irrelevant to trends in modernist studies."(8).Although these publications do not anticipate the tenor of modernist magazines in terms of content, readership and sustained embrace of avant-gardism, the author argues that they form an important backdrop for magazine modernism, on the level of how they were geared towards cultural and social change.Poised between critical analysis and comprehensiveness, MacLeod's impressively documented study of a large number of magazines that were selected out of a dauntingly large corpus more than lives up to its promise: proposing a "rather capacious and, in some respects, counterintuitive definition of the little magazine," (12) the author widens our sense of "little magazineness" (17) through an exploration of a hitherto under-researched field.MacLeod's approach is aligned with the "expansive tendency" of "all period-centered areas of literary scholarship," across "temporal, spatial, and vertical directions," as Douglas Mao and Rebecca Walkowitz had put it more than a decade ago (737). 1 Most notably, MacLeod's timely study takes up the Kirsten MacLeod, American Little Magazines of the Fin de Siècle: Art, Protest...

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)0.002
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: Review · Consensus signal: Review
Teacher disagreement score0.079
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.003
Scholarly communication0.0060.006
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0450.012

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 head0.024
GPT teacher head0.234
Teacher spread0.210 · 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
GenreReview

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
Published2022
Admission routes1
Has abstractyes

Explore more

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