"It's got to be dirty": Komodifikace vzpomínání na případu souboru Prague Burlesque
Bibliographic record
Abstract
This thesis focuses on the commodification of remembering in the case of the Prague Burlesque group. Burlesque or neo-burlesque as an entertainment genre is not as well known in the Czech context as it is in Western Europe, USA or Canada. However, after ten years of activities of the Prague Burlesque, this genre has been receiving more and more recognition in the entertainment market. In this thesis I focus on the perception of burlesque and remembering on the "golden age" as percieved by the members of the Prague Burlesque group as well as the audience of the shows, and how this remembering is commodified in the field of marketing, ether in relation to the regular Prague Burlesque Show or the annual Prague Burlesque Festival. This thesis combines theoretical concepts relating to simulacra (Baudrillard, Mac Cannel), collective memory (Halbwachs, Erll) and commodification of retro and nostalgia after the World War II (Grainge, Moore) with my field research, which took place from 2015 to 2017.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".