Nikotīņi (uzstāsānās "Worlds Collide", Lastādija, Rīga, 2022.07.24.)
Bibliographic record
Abstract
Telefona foto un video. ===================== Event by Defekts_band, Nikotīņi and 2 others Mans rajons - Lastādija Public · Anyone on or off Facebook LV🇱🇻 Jauniešu mūzikas scēnai paplašinoties ir parādījušies jauni dažādu žanru mūziķi. Pasākumā “Worlds collide” tiks apvienoti šie žanri. Uz vienas skatuves kāps panki, reperi, reiveri, draineri, trash, roka un indie mūzikas pārstāvji, lai apvienotu savas fanubāzes un apvienotu pasaules! Pasākuma secība 1)Hunnid Chances 15:00 2)Defekti 16:00 3)Gultni 17:00 4)Mount Green 18:00 5)Privatazona 19:00 6)Zona 20:00 7)Nikotini 21:00 24.07.2022 Pasākums sākās 14:00 un 15:00 uz skatuves kāps pirmā grupa. Ieejas maksa par vienu biļeti - 7€, bet ja ņem vēl divus draugus un pērkat kopā tad 5€ par katru! plakāta autore - Alberta Ziemele EN🇬🇧 As the youth music scene has expanded, new musicians have emerged. These musicians are playing different genres of music. The event "Worlds collide" will combine these genres. Punks, rappers, ravers, drainers, trash, rock and indie music representatives will take the same stage to unite their fanbases and unite the worlds! 24.07.2022 we will see each other in Lastadia at 14:00 Entrance fee for one ticket - 7€, but if you take two friends and you all buy together, then 5€ for each! RU🇷🇺 По мере расширения молодежной музыкальной сцены появлялись новые музыканты. Эти музыканты играют в разных жанрах музыки. Событие «Столкновение миров» объединит эти жанры. Панки, рэперы, рейверы, сливщики, представители трэша, рока и инди-музыки выйдут на одну сцену, чтобы объединить свои фанатские базы и объединить миры! 24.07.2022 увидимся в Ластадии в 14:00 Входная плата за один билет составляет 7 евро, а если вы берете двух друзей, то по 5 евро каждому!
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.718 | 0.613 |
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".