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Record W2155629074 · doi:10.1017/s0008938914000041

Alpine Modern: Central European Skiing and the Vernacularization of Cultural Modernism, 1900–1939

2013· article· en· W2155629074 on OpenAlexaff
Andrew Denning

Bibliographic record

VenueCentral European History · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCentral European national history
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAdventureVisionAlienWishResistance (ecology)Natural (archaeology)HistoryFall of manModernism (music)AestheticsArt historyPolitical scienceSociologyArtLawArchaeologyLiteratureEcology

Abstract

fetched live from OpenAlex

In 1932, author and outdoorsman Carl Luther diagnosed the pathologies of modern life and prescribed their ideal cure, writing: Because our work in the daily routine and in the cities, in factories, and in offices has become prosaic, atomizing, and devoid of adventure—because we live faster and must demonstrate greater resistance—because we do not wish to age, but rather wish to remain young, fresh, and slender—because we are anxious and know that only new thrills and new visions can rejuvenate us . . . Spring, summer, and fall, the former seasons of relaxation, no longer suffice for us . . . We have also discovered the winter, the most alien to us of all manifestations of nature, thus for us nature in its most modern and most youthful form . . . The ski entered into the world . . . to allow men to flee excessive snow and cold. Today, however, skiing is also flight, but flight from the metropolis [in search of] all remote winter environments . . . Fortune is with the skis, because they overcome the awkwardness of nature-estranged urbanites and have so evaded natural [limits upon] speed, that in them man and speed become consubstantial.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.083
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.009
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.019
GPT teacher head0.219
Teacher spread0.201 · 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 designQualitative
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

Citations8
Published2013
Admission routes1
Has abstractyes

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