Bibliographic record
Abstract
Recently, issues of development (Osherenko 1995, Poeltzer 1995), property rights and privatization (Hann 1998) in Russia have focused much scholarly attention.1 As scholars discuss the political dimensions of models of ownership, civil society and privatization indigenous rights issues move slowly to the fore.Although there exists a host of approaches and agendas regarding, for example, development and privatization, scholars agree that these issues need to be connected to larger processes of democratization.In the current moment of the "uncertain transition" (Burawoy and Verdery 1999), indigenous rights groups work to push the frame of democracy and the constitution to incorporate the complex interrelations between peoples and the land, waters, plants, animals, and other natural resources in which indigenous knowledge and economies are rooted, and through which core institutions and values are created and ensured.In the context of Russia's shaky democracy and entrenched corruption, these arguments areto some extent -provoked by the fact that legal and property issues have not been settled and that democracy and constitutional rights in Russia are not stable but still in the making.The debates over land and indigenous rights in Russia are ardent and informed by indigenous fears of "loss of sovereignty" (Nerkagi 1996).After all, what kind of democracy will emerge in the multinational Russian Federation?How will the Russian constitution recognize and accommodate cultural diversity?Will cultural rights be inscribed in the law, and will their inscription lead to social justice?What happens when indigenous people begin to strive for the recognition of their worth, their homelands, and their cultural distinctiveness?Deeply seated within the difficulty to legally ground indigenous claims within a "multinational" political formation (Russian Constitution, article 3), such uncertainties expand into much broader debates on territory, property, and the democratic polity (Pika and Prokhorov 1994).The key question this essay seeks to understand is: how does the Russian Federation recognize and accommodate indigenous rights?And, as a corollary, what kind of possibilities exist for indigenous activists to fight the conditions of political and economic disfranchisement whose effects are also terribly material.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.013 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".