Bibliographic record
Abstract
Story writing craft evolved through the centuries before rising as a separate genre. Unity is an essential element of short story through which it exhibits singularity of effect, unity of impression, and the totality of interest. After the success of the short story, writers further shortened their narratives and eventually short fiction arose as a sub-category of short story. Short fiction further differentiated into a sub-category called the “sudden fiction” that referred to all shortened forms of short fiction. Having mastered artistic brevity, writers began writing even more condensed narratives, and the sudden fiction differentiated into two types: the new sudden fiction and the flash fiction. The new sudden fiction was akin to the traditional story comprising of up to 1500 words; whereas, the flash fiction was similar to the Hemingway’s classic The Very Short Story consisting of up to 750 words. However, the flash fiction later reconfigured to include all short-short stories comprising of 50-1500 words. This paper briefly overviews the evolution of the short story genre and reviews the delicate merger of the short story with the contemporary short-short story.
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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
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".