Bibliographic record
Abstract
A Polish-Canadian literary mosaic Dzieci stamtąd.Nawet ptaki umilkły (Children From Th ere.Even Th e Birds Turned Silent), in French original: Ces Enfants d'ailleurs.Même les oiseaux se sont tus), written by Arlette Cousture -reached Polish readers over twenty years aft er its premiere on the French-Canadian book market.Its publication in Polish (Dzieci stamtąd.Nawet ptaki umilkły, 2017 2 ) coincided with a double jubilee -the 150 th birthday of the Confederation of Canada and the 75 th anniversary of diplomatic relations between Poland and Canada.Th e fi rst volume of this family saga, divided into six parts, was translated from French into Polish by three women: Iwona Badowska (parts 1-2), Grażyna Majcher (parts 3-4) and Katarzyna Chojnowska (parts 5-6).It was a courageous 'joint venture' which perhaps carried the risk that the Polish text would become a work written in three diff erent literary styles.Polish readers know very little about French-Canadian literature.Most of us would probably be unable to respond when asked to name even a single French-Canadian writer.Th us, learning that the history of the immigration of Polish people to Canada has been a source of literary inspiration for a bestselling author in French Canada comes as a pleasant surprise.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.027 | 0.015 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".