Bibliographic record
Abstract
Vladimir Tasic is a professor of mathematics at the University of New Brunswick, as well as the author of several works of poetry, fiction and non-fiction. He writes in Serbian and English and publishes his work in Serbia and Canada. This article deals with his novels that were written in Serbian and translated into French and partially into English. The article tackles the theme of home in three of Tasic's novels Oproštajni dar (Farewell Gift), Kiša i hartija (Rain and Paper) and Stakleni zid (Glass Wall). The concept of home is discussed in the broader context of the Western literary tradition as well as its implications in the discourse of migrant writers like Salmon Rushdie, Homi Bhabha and V. S. Naipaul, along with the earlier manifestations of home in the writings of an older generation of exiled authors such as György Lukács, Ihab Hassan and Walter Benjamin. In his narrative world, Tasic establishes a perpetual dialogue between concepts of "home" on different levels of their fictional representation.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.019 | 0.020 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".