“It’s Such a Small Planet, Why Do You Need Borders?”: Seeing Flying in <i>Le Petit Prince</i> and Its Screen Adaptations
Bibliographic record
Abstract
In this article, I analyze the potential positive impact of aerial perspectives on children’s understanding of their place in the world, with Le Petit Prince envisioning a borderless world of ecological and social unity. The novellas of the pilot and author Antoine de Saint-Exupéry encourage their projected viewers to see the interconnectedness of all life, including the life of the planet itself. Most notably, Le Petit Prince raises environmental responsibility in discussing the prince’s planet and undermines ideas of national difference as the prince views the earth from space. Visual adaptations of Le Petit Prince by Stanley Donen and Will Vinton pick up on Saint-Exupéry’s phenomenology of perception and translate them through visual techniques into politicized aerial perspectives. Looking at Le Petit Prince and its film adaptations, this article argues that aerial perspectives work to transform children’s perceptions and break down bordered mappings of the world.
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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 | 0.001 | 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 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".