Bibliographic record
Abstract
country, business taxation analysis, etc.Such services is certainly facilitate search of places for investment and minimize the risks associated with investment planning, because the lower the investment risk, the higher the territory investment potential.According to international study of Anholt-GfK Roper Nation Brands IndexSM in 2015 the strongest national brand become the United States, taking the 1 st place , and overtaking Germany -the leader of the ranking in 2014.Also in the top five leaders of the Anholt-GfK Nation Brands IndexSM includes the UK, France, Canada.Russia, in its turn, climbed to 3 positions up and took 22 nd place of the national brands world ranking.[3] Over the past 30 years, such tool as national branding was developed in many countries around the world.It creates an emotional attachment and loyalty to a particular region, in global terms; it has the task to improve the country, which entails the interest of the investment community.However, many countries still have to clearly formulate and implement a branding strategy, which in the future will bear fruit and stimulate the economies of these 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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".