Bibliographic record
Abstract
The establishment of Island Studies within the academe and the introduction of concepts such as ‘islandness’ and ‘islandscape’ have accompanied a general rethinking of the concept of insularity which encompasses the reflection over a cinematic representation of islands and islanders. The use of islands as cinematic landscapes and settings has reinforced cultural, mythical, and identity stereotypes associated with the island imagery built-up in literature, as well as the construction of the islander as a character exhibiting specific behavioural features. The film Cainà. L’isola e il continente (Gennaro Righelli, 1922) is emblematic insofar as it is the first feature film shot in Sardinia and its character is not just a symbol of feminine rebellion against a patriarchal society, but it also serves as an allegory of an unspoiled island, such as it was considered and depicted at that time. As islanders ourselves, we have wondered to what extent Cainà adheres to the stereotypes of islandness and insularity conventionally ascribed to islands and, in this specific case, to Sardinia. Our paper aims to examine the genesis of the Sardinian insular imagination through the lens of the cinematic construction of ‘islanderness’ and ‘islanderscope’, an assortment of agency representing islanders — and islands — on screen.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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".