Development of U.S. Lodging Industry and Its Implication/DEVELOPPEMENT DE L'INDUSTRIE DE LOGEMENT DES ETAT-UNIS ET SON IMPLICATION
Bibliographic record
Abstract
This article reviews the development of U.S. lodging industry and its implications, it shows the high degree of concentration in some aspects related to development of U.S. lodging industry such as market size, major players, and customer types.. And then further analyses the factors and its implications that influencing the lodging industry of US, it mainly was studied from the aspects of economic, social and technological sides. Finally forecasts the key trends of the lodging industry. Key words: Development, Influence Factor, Issue, Trend Resume: Cet article passe en revue le developpement de l’industrie de logement des Etat-Unis et son implication. Cette retrospective montre la concentration de haut niveau sous certains aspects relatifs au developpement de cette industrie tels que la dimension du marche, les acteurs principaux et les types des clients. Et puis l’article analyse les facteurs et ses implications qui influent l’industrie de logement des Etat-Unis dans les perspectives economique, sociale et technologique. Finalement, l’auteur prevoit les tendances importantes de l’industrie. Mots-Cles: developpement, facteurs influants, probleme, tendance
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 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".