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Record W7033888192

The Serb and the Fox

2014· other· en· W7033888192 on OpenAlexaboutno aff

Bibliographic record

VenueIowa Research Online (University of Iowa) · 2014
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicFinancial Crisis of the 21st Century
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingSadnessGraduation (instrument)Statement (logic)State (computer science)ConsciousnessGriefWorld War II
DOInot available

Abstract

fetched live from OpenAlex

This letter from a Japanese-American language student studying at Camp Savage during World War II to his friend Evelyn conversationally outlines the important things that have happened since he last wrote to Evelyn.His writing contains little transition between his ideas, rapidly moving from his graduation from language school to the state of Evelyn's mother, to his friend in Canada, to his friend who recently died in the Pacific theater in somewhat of a stream of consciousness style.Throughout the letter Hayashi uses phrases that would have been typical to the time period.He asks after Evelyn's mother, despite having never met her, hoping that she is "in the pink".Later he refers to his classmate going "West" when he died in battle.Toward the end of the letter, his sadness and depth of feeling over his friends death is clearly evident.Hayashi mentions many patriotic sentiments as he explains his mixed emotions about his classmates death.While Hayashi is sad that his friend has died, he is also glad that his friend gave his life for his country, one that "gave him everything".This reference to the wealth of opportunities and values that his friend died fighting for is notable.Hayashi even grows slightly profound in his musings that "some day people will understand why there is war", though he does not elaborate on his own opinions of why there is war, or whether he supports it.His high opinion of his friend is even clearer in his statement about how his

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.255
Threshold uncertainty score0.768

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.255
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 teacher head, 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
Published2014
Admission routes1
Has abstractyes

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