The Relevance of Organizational Characteristics for Crisis Planning
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
The purpose of the research was to investigate the readiness of the touristic branch for facing economic and financial crisis. The paper is based on a study undertaken in the Madrid region in 2009. Predictors of crisis including gender have been surveyed for a total of 198 hotels and 291 restaurants in the province of Madrid. The study demonstrated that the age and size of the decision-making organization and the gender of the business’ leader did influence crisis planning. Major differences were found between hotels and restaurants, the last ones being more severely affected than hotels and thus placing more emphasis on planning ahead. Age was an indicator of the existence of “soft” crisis planning tools. Size was an indicator only for restaurants. Gender of the business owner also influenced crisis planning. Recommendations for policy makers on which types of owners they need to focus on for giving assistance in time of crisis were made. The scope of the study was geographically very limited and would need to be expanded to further parts of Spain or to other countries with strong tourism activities.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 it