When the Past Poses Beside the Present: Aestheticising Politics and Nationalising Modernity in a Postcolonial Time
Bibliographic record
Abstract
This article focuses on the Tunisian government's tourist promotion policies during the 1990s. It takes a Deleuzian perspective, using the notion of crystalline narration developed by the author of The Time-Image. I will emphasise the idea of coalescence between past and present as revealed in the advertising images of the period where heritage objects appear among other contemporary objects. In fact, I will draw on a corpus of short films and commercials produced by the Tunisian tourism bureau to be broadcast both inside and outside the country. My analysis will focus on the ways in which actors in the fields of politics and tourism use these objects for media purposes, targeting both Tunisians and foreign tourists to whom they strive to hold up a crystal-image of Tunisia. This image is shored up by a political discourse put forward by a state that wishes to appear both to its citizens and to others as reconciling past and present. The crystal metaphor evokes a narrative mode in which heritage is likened to the glittering of scattered crystals and Tunisian identity seems to emerge from the ‘mists of time’ with sparkling refractions on ‘tips of the present’.
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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 | 0.002 | 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 | 0.014 | 0.028 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".