Jivetz and Writing the Afterlives of Protests in Bulgaria
Bibliographic record
Abstract
This dissertation explores political and anticipatory stances and endeavors through an ethnographic lens, focusing on the 2013-2014 mass protests and student university occupations in Bulgaria. It is a collection of stories gifted by interlocutors that describe encounters with others, as well as with material things, spaces, poetry, and photography, which create desire and inspire hopeful imaginations. The writing does not aim at accurate descriptions but seeks to break open established narratives that summarize the protests and disappoint, as well as to offer a counterpoint to the “politics of the antis” by tracking a vibrant and enchanting political (“jivetz”) that continues to reverberate. Of primary concern in this dissertation is how to engage with this hopeful political without describing and explaining it, without freezing and deadening its effects. To address this, the writing is nervous and experimental, seeking not to discipline the contradictory, confusing, and odd, or to make fragments and stories whole, but instead to track, attune to, mimic, and replicate the desires and hopes often found in the small, eccentric, and singular. It remains open and anticipatory itself, allowing the outlines of something possible to emerge.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.021 | 0.032 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".