“A Study On Financial Performance Of Mahindara Holidays & Resorts India Limited”
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
According to The World Travel and Tourism Council (WTTC), in the year 2019 the Indian travel and tourism industry contributed 6.8 per cent to GDP. The contributionto employment in India was 8 per cent or approximately 40 million jobs. The traveland tourism industry has to work tirelessly with our partners and the TouristDepartment, Government of India to increase tourism so that we can increase ourforeign exchange earnings and create more jobs. In 2019 the number of foreign visitors to India totalled 11 million. Over 2.5 million foreign visitors arrived inIndia on the tourist e-visa scheme, a growth of 24 per cent over the previous year. Foreignvisitors from The United States of America contributed 9 per cent, the United Kingdomcontributed 6 per cent and Canada and Australia contributed 2 per cent each. However, this share of foreign travellers visiting India relative to other Asian countries continuesto disappoints. The Indian travel and tourism industry has to work much harderto attract more foreign visitors to our country.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| 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 it