A hospitable world? organising work and workers in hotels and tourist resorts
Bibliographic record
Abstract
"The hospitality and tourism sector is a large and rapidly expanding industry worldwide, and can rightfully be described as a vehicle of globalisation. Hotels are among the cornerstones of the industry often drawing workers from the most vulnerable segments of multicultural labour markets, accommodating and entertaining tourists and business travellers from around the world. This book explores the organisation of work, worker identities and worker strategies in hotel workplaces, as they are located in heterogeneous labour markets being changed by processes of globalisation. It uses an explicitly geographical approach to understand how different groups of workers experience and respond to challenges in the hospitality industry, and is based on recent theoretical debates and empirical research on hotel workplaces in cities as different as Oslo, Goa, London, Las Vegas and Toronto. A multi-scalar analysis is taken where concrete worker bodies and their physical, emotional and embodied labour are seen in relation to, among other aspects: the regulation of national and regional labour markets, city governments with global city ambitions, and global corporate actors and labour migration patterns. The book sheds light on the hotel workplace as a hierarchical and fragmented social space as well as addressing questions on worker mobility, the fragmentation of work, scales of organisation and how workers can help shape the regulation of their industry. This timely volume brings together contributions from international academics and is valuable reading for all those interested in hospitality, tourism, human geography and globalisation"..
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.005 |
| 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".