Bibliographic record
Abstract
The text examines artist Tanja Ostojic?s interdisciplinary research project entitled Lexicon of Tanjas Ostojic, in the light of feminist materialist theories, participatory art, and socio-political analysis of the former Yugoslav region. Tanja Ostojic decided to frame her project around the lives of women who share her first and last name. Ostojic?s name-sisters became her collaborators as the work turned into a large-scale, long-term project involving 33 women and their personal histories. The women all share a mutual connection to the Yugoslav region that has directly or indirectly shaped their lives through its turbulent recent history. Artist?s intent was to use the stories encountered by collaborating with her name-sisters as a foil to uncover and highlight the connecting personal narratives following Yugoslav wars of succession in the 1990s and in doing so point to the detrimental legacies of war and transition on women?s lives. In this article, author?s main argument borrows from Karen Barad?s discursive-material ontology to point out that Lexicon activates a form of material feminism which functions intra-actively, in other words, in both its form and content the work recognizes that women?s lives are continuously constituted and re-constituted through multiple linguistic and material formations, or through complex relationships between humans, non-humans, and various discursive and material contexts. In using materialist feminist analysis, the author argues that Lexicon gives primacy to women?s agency and proposes a sustained, growing forms of resistance to the forms of post-socialist exploitation.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.018 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".