Longing for the Kollektiv: Gender, Power, and Residential Schools in Central Siberia
Bibliographic record
Abstract
Interpretations of post-Soviet subjectivities have tended to emphasize the ways in which subjects experience these with a sense of liberation from a monolithic socialist state; however, local responses to post-Soviet forms of power have varied widely. In the case of indigenous Siberians in the 1990s, an older generation of Evenk women expressed positive feelings about their experience as students in the Soviet-era residential schools that continue to shape their subjectivity in the post-Soviet present. Evenk subjectivities, as with those of other indigenous Siberians, have been significantly formed through the institution of the residential school and, by extension, through a range of interactions with state power as it has been locally remade and interpreted in the 1990s. In this article, I explore the widespread nostalgia associated with the residential school. Drawing on the narratives of elderly Evenk women, I argue that such expressions of Evenk nostalgia for the socialist era are a form of critique of the neoliberal logics emerging in Russia today. In this respect, Evenk women's accounts allow us to explore negotiations of power in a post-Soviet era and to examine how ideologies shape conceptions of self and the social order more broadly.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".