The space of “Topos”. A few words to begin with
Bibliographic record
Abstract
This article is an introduction to a volume devoted to the bimonthly literary journal “Topos”, which has been published in Sopot since 1993. Its editor-in-chief is poet and literary event organiser Krzysztof Kuczkowski. During the quarter of a century in which it has been published, “Topos” has become an important periodical, promoting literature opposing the post-modernism dominating Polish culture at the turn of the 21st century. At the same time, the periodical has become the informal voice of a constellation of seven poets gathered around it: Krzysztof Kuczkowski, Wojciech Kass, Wojciech Kudyba, Przemysław Dakowicz, Wojciech Gawłowski, Adrian Gleń and Jarosław Jakubowski. The introduction also includes information about the celebration of the journal's jubilee (Sierakowski Manor in Sopot, 28-29 September 2018), as well as the academic conference “Topos”: literary journal, ideas, artistic milieu, which was organised on 15-16 November 2018 by the “East – West” Department of Philological Research at the University of Białystok and the Academic Department of the Łukasz Górnicki Książnica Podlaska. “Topos”, according to the author of the introduction, is an important journal promoting poetry and literature oriented towards metaphysical search.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.015 | 0.010 |
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".