Mandarin Oriental Hyde Park - Rebirth, repositioning, disaster and survival: a new London hotel's strategy following September 11 2001
Bibliographic record
Abstract
Liam Lambert joined Mandarin Oriental Hyde Park, London as Director and General Manager in January 2000 from its sister hotel, Mandarin Oriental, Hong Kong where he previously held the position of General Manager since 1995. He is also a Board member of Mandarin Group. Liam's career with the Mandarin Oriental Hotel Group began in 1991 as General Manager of the Excelsior, Hong Kong. Prior to that he worked with Westin Hotels in Canada in senior management positions in the Westin Hotel, Toronto, Ottawa and Montreal before becoming General Manager of the Westin Edmonton and then in 1988 transferring to the Westin Plaza Manilla. Born in Dublin, Ireland, Liam began his career in 1971 at the Hotel Claridge in Paris where he worked for two years before relocating to Australia in 1973 to work at the Wentworth Hotel Sydney. In 1994 he attended the Harvard Business School completing the Advanced Management Programme and in 1995 acquired an MBA from the University of South Australia. Liam is married with three daughters and in his leisure time enjoys scuba diving and oil painting.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".