Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Olga Tokarczuk has been one of the most read and popular Polish authors in the Czech Republic for the past quarter of a century. She brings unquestionable values to the Czech cultural and social scene, which are both an inspiration and a challenge for Czech readers. Her fictional worlds reflect her clear personal opinions and views on many problematic phenomena of the contemporary world, which she also declares in her civic attitudes. The cognitive value of her works is comparable to that of great Czech authors (K. Čapek, M. Kundera). The aim of the study is to show the personality of the author and the position of her work in the Czech cultural (translations, critical reception, reader reception) and media context (interviews, informative articles, appearances on television and radio, visits to the Czech Republic). The response in both contexts is growing with each newly translated book, especially noticeable in the period after the Nobel Prize in 2019. Thirteen of her books have been translated into Czech (Petr Vidlák, Iveta Mikešová, Renata Putzlar Buchtová, Barbora Doležalová). Tokarczuk’s personality makes the element of mutual respect, harmony, sharing, crossing the borders of the state and the nation present in Czech-Polish ties. Her work and attitudes convey a deeply human perception of goodness, equality and justice.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.084 | 0.194 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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 it