Bibliographic record
Abstract
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 friend "joined the ranks of many eternal heroes".
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.071 | 0.017 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".