v nedûli 26. dubna 2009 v 13:30 v restauraci Praha na Masaryktownu! 450 Scarborogugh Golf Club Rd. Scarborough, Ontario
Bibliographic record
Abstract
*** *** Kdykoliv zahlednu ‰tihlou a dosud nenahrbenou postavu Jana Matujovice, vzpomenu si na jedno na‰e setkani v nemocnici Sv. Josefa v Torontu pfied nukolika lety: setkali jsme se u vchodu do nemocnice, ja strkal voziaek s pacientem dovnitfi a Jan Matujovic strkal voziaek s pacientkou ven (nebo obracenu - uI si nejsem jist). A to, myslim, je pfiedstava, ktera se pfiesnu kryje se skuteanosti. Jan Matujovic je vzacnu dobr˘ alovuk. Nejvic si to snad uvudomuje kostel Sv. Vaclava v Torontu, kde ho s jeho pani uvidite kaIdou neduli. Ale jsou i jine organizace, ktere se podileji na jeho ‰tudrosti, vaetnu Torontske univerzity. A krajanske noviny a... Jan Matujovic sve dolary nezdudil. Do Kanady pfii‰el s prazdn˘ma rukama. KdyI 23. dubna 1949 vystupoval v Halifaxu z lodi U.S.A.T. Le Roy Eltinge, s kterou pfiiplul na pfiiklad take Jan Waldauf, Svatopluk Tomanek, Jifii Brand˘s, Karel Dragoun a pfies sto dal‰ich, bylo mu dvacet rokU a jeden den (narodil se 22.dubna 1929). Dva roky po pfiijezdu do Kanady se usadil v Torontu a zaaatkem ‰edesat˘ch let se stal majitelem stare torontske firmy Drummond Metal Producrs Ltd., kterou se sv˘mi syny pfietvofiil v jeden z nejuspu‰nuj‰ich podnikU sveho druhu v Kanadu. Spoleanost, kterou dnes fiidi jeho synove, je nejvut‰im dovozcem dvefii a jin˘ch stavebnich artiklU v Kanadu. Mladi podnikatele, ktefii pfiichazeji do Kanady, v num maji vynikajici pfiiklad. A v‰ichni mu pfiejeme dlouhou fiadu ‰Eastn˘ch a spokojen˘ch let.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.621 | 0.310 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".