Tourism, the main industry of the new economic model in Albania.
Bibliographic record
Abstract
In this paper we have tried to provide a much clear er picture of the characteristics, nature and importance of the economic impact of tourism in Albania, giving the profound changes in the economic structure of the c ountry in the past 24 years and based on a nationwide debate terms of an adequate a nd efficient economic model to be applied in our country. Based on economic analys is reflecting components and technical prerequisites for the development of the tourism product, there was shown that tourism should lead and orientate economic model of development of Albania. Recently our country was being considered as a country with a competitive tourism, especially given the performance of all the determi nants of tourism development in the region, referred to its total contribution by a bout 16.7% to GDP in 2013. Referring to all analyzed macroeconomic indicators, analytica l discussion and analysis on the attitude of some state institutions and from severa l prestigious tourism institutions worldwide such as WTTC and several media organs with an essential impact on global demand for tourism such as New York Times, Canada.com, Huffington Post, National Geographic, etc., there was arrived in the conclusion that Albanian tourism has specific advantages and characteristics of prod uct compared to with the regional tourism product beyond.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".