Visual language and identity performance in Leonid Osyka's <i>A Stone Cross</i> : The roots and the uprooting
Bibliographic record
Abstract
AbstractThis article focuses on A Stone Cross (Kaminnyi khrest), a 1968 film by the Ukrainian director Leonid Osyka based on the work of the Ukrainian modernist writer Vasyl' Stefanyk, including the eponymous short story. While this film is regarded in the countries of the former Soviet bloc as one of the highest accomplishments of the poetic cinema movement of the 1960s and early 1970s, it has so far received little attention in the West. The present article examines the film-maker's choices made in adapting the literary texts, and especially the film's visual language, including its choice of setting, camerawork, editorial style and use of professional and non-professional actors, and the way these choices contribute to the work's overall dramatic impact. A key theme in this film, which narrates a peasant family's decision to emigrate to Canada in the late 1890s and the severance of its symbolic ties with the traditional rural community, is the deep identity crisis precipitated by the social upheavals o...
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.006 | 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".