Bibliographic record
Abstract
Royal Air Maroc has more flights to North America than any other African or Middle Eastern airline and is using a new partnership with Delta Air Lines to expand its business in the U.S. and Canada. It is redesigning its network to make Casablanca the hub for connections to its destinations in 78 cities in more than 40 countries. It is one of the leading carriers in Africa and the Middle East. Attention is being paid especially to domestic Moroccan tourist spots like Marrakech and Agadir. Tourism is the leading generator of foreign currency for the country, and the government, which owns 94.39% of the airline, expects it to be a close partner in boosting that business. Air France owns the largest minority stake, followed by Iberia, with less than 1% in private individuals' hands. Flight attendants are trilingual in Arabic, English and French, and the airline operates a 24-hour call center whose attendants are also multilingual. It has subsidiaries that train personnel for other airlines in the region and a catering arm and hotels.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.024 | 0.002 |
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; both teacher heads agree on what is shown here.
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".