Bibliographic record
Abstract
This article addresses the issue of socialist nostalgia. Specifically, it deals with the inadequacy of treating the post-socialist “return of socialism” as different incarnations of socialist nostalgia. The author contends that this kind of treatment suffers from “nostalgia reductionism” and “socialism essentialism,” and leads to the very problematic conceptual and analytical shortcoming of pre-determining the nature of what needs to be understood and explained. Correspondingly, the author argues that a meaningful consideration of the post-socialist return of socialism has to free itself from the “nostalgia presumption” and embrace a non-essentialist analytical viewpoint whereby socialist nostalgia is recast as a plurality of heterogeneous and context-dependent post-socialist socialist discourses. To this end, the author analyzes two post-Yugoslav documentary films, Sretno dijete and Orkestar, to substantiate the claim that socialist nostalgia is too narrow of a framework to encapsulate adequately the span of an entire range of post-socialist socialist discourses and the ways they operate in specific sociocultural contexts and communicate to and with particular audience(s). In advancing this argument, the author does not propose that “the nostalgic” has no place in the analysis of the post-socialist memory of socialism but, rather, that the degree and nature of its presence has to be established through an interpretive reading of particular post-socialist socialist texts, rather than presumed a priori.
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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.046 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".