Identity, intertextuality and Italianicity: The edutainment of Disney-Pixar’s Luca (2021)
Bibliographic record
Abstract
This article examines how Disney-Pixar’s Luca (2021) constructs identity alongside two filmic pillars: intertextuality and Italianicity. The three levels of analysis that emerge in this study – identity, intertextuality and Italianicity – are contextualized in interdisciplinary literature and the imagination at the centre of Disney’s filmography. First, this article examines identity formation in the film through its characters which supplies viewers with an opportunity for self-reflection. Next, it explores the intricate intertextuality of the film and posits these references, whether intentional or latent, as connective pieces to Luca ’s filmic contexts. Finally, it examines the function of Italianicity on a variety of levels to galvanize how the film is chock-full of references that embrace and stage Italy. All of this considered, this article frames how these three pillars come together to teach Italian culture to viewers via the film.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".