Bibliographic record
Abstract
Authors of academic research on globalization often employ watery metaphors -fluidity, circulation, flows - in attempt to analyze the unlimitedness of movements of capital, commodities, ideas, and people. The frictionless sea has thus come to be the metaphor of circulation par excellence. Yet, in the last two decades, the hardening of migration policies all over Europe and beyond EU borders, which has aimed at strengthening a water-barrier between Europe and its “southern beyond”, compels for a consideration of the maritime space, the Mediterranean Sea, as b/order space(s). Through a geo-literary analysis of the novel Le Baiser de Lampedusa (2011) by Mounir Charfi, I will focus my attention on the ways in which the Mediterranean Sea is rendered, modeled and reflected as a b/order space in and through literary representation. The author through the close association of the ordinary and the fantastic, and employing a narrative mode that undermines realism, creates an alternative description of the Mediterranean borderscape in which basic assumptions of referentiality do not hold anymore. In fact, throughout the narrative, the notion of the Mediterranean sea is challenged and its visual appearance becomes blurred and disappears. As a consequence of its disappearance, continents shift and geographic regions are subverted. What emerges is first that the understanding of the Mediterrannean Sea as a b/order is put into question, and secondly, that geopolitical delimitations are not only arbitrary but also flexible. Therefore, the following article deals with the realm of counterfactual geography in border fiction.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".