Mediating cultural encounters at sea: dining in the modern cruise industry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Before the mid-twentieth century, cruises were largely the preserve of elites. However by 1970 there was a dramatic shift toward a predominantly middle-class customer base; this change generated a need to revamp menus to satisfy the tastes of a new type of client. The mass-market cruise lines that dominate the modern era of cruising – from 1970 – increasingly offered passengers cuisine marketed as exotic – in ways that evoked ethnic or geographic ‘Others’. Companies used food as a way of mediating encounters between passengers and foreign cultures. Marketing plays a key role in determining the place of a dish in the familiar/exotic binary. In mediating cultural encounters, cruise lines demonstrate how they want passengers to conceptualise racial, social, and cultural Others. Today, cruise ships contain ethnically themed foods, spaces of consumption, and culinary service. Cruise lines offer these immersive ethnic themes to tourists on platforms that are constantly mobile, resulting in a fundamentally unique business model. In performing this combination, companies encourage tourists to immerse themselves in as many different cultures as possible, though in expedited ways that are inherently and intensely mediated.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it