MICE산업의 고용효과 및 경제기여도에 관한 국제비교 연구: 미국, 캐나다, 멕시코, 영국을 중심으로
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 study analyzes the impact of the MICE Industries in terms of employment effect and economic contribution to the national economy(GDP) among US, Canada, Mexico, and UK. The results of this study are as follows: (1) US had the highest employment effect with 5.31 million people. UK, Mexico, and Canada had also high employment effect of 1.02 million, 783 thousand, and 341 thousand. (2) The total GDP contribution was the highest in the United States with $ 393.8 billion. It reached ￡ 35.9 billion in the UK, CAD$ 27.5 billion in Canada and US$ 25.1 billion in Mexico. (3) UK ranked highest with 3.83 percent of GDP contributions. US, Mexico and Canada also saw 2.4percent, 2.41 percent and 1.51 percent respectively, contributing to the economic contribution of the MICE Industries. It is also necessary for our nation to adopt internationally standardized methodology to analyse the employment effects and economic contribution of the MICE Industries. Also, it would be important to understand the relative position of our industry, comparing the results to other countries.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.051 |
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