Universality, spectrality, proximity: The cinematic faces of Europe's other
Bibliographic record
Abstract
Abstract For a number of scholars, the crisis of European identity is a result of the asymmetry between Europe's universal normative claims and its particular ethnic, cultural and racial contexts. This asymmetry is epitomized by the EU's failure to ratify its legally binding constitution. For others, the same asymmetry constitutes the very condition of being a European. Those envision Europeanness beyond its regulative idea as the ethical injunction of a promise to 'the other'. This article probes the validity of each of these arguments by juxtaposing two groups of films. Gianfraco Rosi's Fire at Sea (2016) and Ai Weiwei's Human Flow (2017) remain committed to the idea of human rights as a universal norm, an idea whose most prominent advocate is Jürgen Habermas. As an alternative to this view, Guido Hendrikx's Stranger in Paradise (2016) and Christian Petzold's Transit (2018) are taken to demonstrate what Jacques Derrida describes as 'hospitality' and 'spectrality'. Based on this analysis, the paper finds both models inadequate to hold together the irreconcilable modalities of the political and the ethical. To address this deficiency, it revisits Levinas' account of 'justice beyond the face' to propose an extension of the ethical view of Europeanness into the spheres of international law and public institutions.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.015 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".