MétaCan
Menu
Back to cohort
Record W2733402004

Early Life and Works of Hemingway

2013· article· en· W2733402004 on OpenAlexaboutno aff
Brij Mohan

Bibliographic record

VenueAsian Journal of Multidimensional Research · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican and British Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSightFront (military)HistorySpanish Civil WarState (computer science)MillerLiteratureArt historyArtArchaeologyEngineering
DOInot available

Abstract

fetched live from OpenAlex

A few writers have been so deeply autobiographical as Hemingway. Besides being a famous writer, he was well-known as hunter, fisherman, skier, boxer, reporter, soldier, bullring and saloon aficionado. Ernest Miller Hemingway was born on July, 21, 1899 in Oak Park, Illinois, just outside Chicago. Hemingway was severely wounded by an Austrian mortar shell while he was handing out chocolate to a group of Italian soldiers. Hemingway was excruciated by the horrors of the war front, its gruesome sights and metallic sounds. For a long time he could not forget that hell. He was in a state of shock. He suffered from insomnia and so did many of his fictional characters. In 1922 and 1923, Hemingway travelled extensively through Europe as a free-lance journalist for his assignment with the Toronto Daily Star. Most of the characters in The Sun Also Rises have suffered somehow either in the war or as a result of the war. Drink, sex and sports like fishing and bull-fighting are opiates at best because they are a temporary means of escape from inner turmoil.

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: Other · Consensus signal: Other
Teacher disagreement score0.021
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.008
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0200.004

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 head0.038
GPT teacher head0.294
Teacher spread0.256 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueAsian Journal of Multidimensional ResearchSame topicAmerican and British Literature AnalysisFrench-language works237,207