Emergence of amenity migration in the area of "Bohemian Canada" Natural Park, Czech Republic.
Bibliographic record
Abstract
The work deals with amenity migration in a natural park "Bohemian Canada". Amenity migration is one of the current global phenomena. Amenity migration is a specific type of migration which is not motivated by economic prosperity of the target area. It is motivated by an effort to live in more valuable socio-cultural surroundings, and it is mainly directed from metropolitan to rural areas. The main aim of this work is to identify the assumptions of the model area for the creation and existence of the phenomenon of "amenity migration". The part of this finding is the identification of the main reasons of amenity migrants moving into this area. The finding of the results of this work was carried out by using a statistical survey, using the technique of interviewing respondents. The survey was carried out from April to June 2010. It was made 101 questionnaires and 95 of them were used to evaluate the results. The research was conducted in the natural park ?Bohemian Canada?. ?Bohemian Canada? is a popular tourist area. It's a rough area, yet romantic charakter, with excellent conditions for amenity migration. In the area there are many summer huts and cottages, which could constitute a potential base for amenity migration.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".