Bibliographic record
Abstract
Though an analysis of how and why four new women in Winsburg, Ohio appear grotesque, this paper points out that grotesques actually cherish rich and beautiful spiritual world and that shackled by sex discrimination, their loneliness and despair are deeper than these of men grotesques’. Key words: Winsburg Ohio, new woman, loneliness Resume Par l’analyse des conduites excentriques des quatre nouvelles femmes dans Winesburg, Ohio ainsi que leurs raisons, l’article indique que les excentriques possedent en fait un monde spirituel beau et riche, et que, en tant que femmes, elles sont liees de plus par le sexisme et leurs solitude et desespoir sont beaucoup plus profonds que ceux des hommes excentriques. Mot cles : Winesburg, Ohio, les nouvelles femmes, la solitude 摘 要 本文通過分析《小城畸人》中四位新女性的畸人行徑及其成因,說明畸人不畸,實則是精神豐富美麗的人,而身為女性,她們比男性更多一重性別歧視的桎梏,其孤獨與絕望也更深刻。 關鍵詞:《小城畸人》;新女性;孤獨
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
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".