BOOK REVIEW: FLORIN ONCESCU, “JURNALUL LUI SAKE [SAKE’S DIARY]”. CLUJ-NAPOCA: LIMES, 2017, 224 P.
Bibliographic record
Abstract
Florin Oncescu’s most recently published novel, Jurnalul lui Sake [Sake’s Diary], is a delightful and humorous piece of writing that playfully thematizes contemporary issues such as the complex articulations of relocation and bicultural identities. Florin Oncescu is a prominent and idiosyncratic contemporary Romanian writer, who was born in 1960 in Constanța. He has graduated from Polytechnic University of Bucharest in 1985 and permanently moved to Canada in 1995. He has been living in Montréal ever since, with short periods spent in the United States. Nevertheless, he is a well-known and active writer in the Romanian literary landscape. Florin Oncescu has published several volumes of fiction so far: Dispoziție depresivă (Ramuri, Craiova, 1994), La umbra unui enciclopedist (Omniscop, Craiova, 1999), Întoarcerea (Ramuri, Craiova, 2003), Ilustrate din America (Limes, Cluj-Napoca, 2007). He is a member of the Romanian Writers’ Union and regularly publishes in Pagini românești.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.051 | 0.032 |
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".