studentenprotest: januar 2008, frankfurt (main).
Bibliographic record
Abstract
a short film about protesting students in frankfurt/main (germany, western part of it), end of january 2008, but still actual. ÄHM there is a 'tip-feler' inside, as polish pips might call it. the meant person has the name Kurt Wansner and his funcion is 'CDU-Kreischef'. he´s the person who tried to block the changement of a street touching two neighbourhood redactions (both with a long history in 1968's protests) - the needed changement of this street name into "dutschkestraße" (rudi-dutschke-straße). he tried to block it as a member of a conservative party in germany. he did it in a function, by ignoring the voices of the neighbourhood/of the living people there. there has been a poll in the quarter of the city (Berlin, germany/allemagne/nemczland). however: his name is NOT the name on the screen, this is a stupid 'tip-feler'. the crazy person´s name is Kurt Wansner. and ifever anyone there has his/her "zweifel" about a special second in this film: i´ll stand where i am thinking: ey. when/if there is e-g- a mothe thinking: W HA T?! W H ERE! with water canonst against a demo where my son or my daughter is taking part in? W H A T?!! gimme their emailaddress, can´t believe this what?! no, that´s enough, gimme their email-address.... then, you see, in those cases a tip like this is ok. and pips will know wich mail account to use if wanting to send a "hands away from my..." (whatever. son, daughter, sister... fellow pip.)
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.688 | 0.458 |
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".