Bibliographic record
Abstract
This article approaches the concept of the “vitality of local communities” and the possibilities of its measurement. It describes the efforts of researchers to define vitality at the level of regions, cities, or even neighborhoods. With the advent of new technologies, we are experiencing an increase in possibilities and tools to visualize vitality in the form of maps or interactive databases. We are witness to numerous projects that explore the vitality of communities in the USA and Canada, but this approach has penetrated the rest of the world only to a lesser extent and in a significantly altered form. The article notes a selected parameter – the dwellings that people build, adapt, or abandon. Dwellings are a well-researched feature from various anthropological perspectives even historically. Thanks to this, it is possible to quantify the level of vitality of cities through houses. We have much data from field research in a specific location in South-Central Slovakia. With the help of said data, it will be possible to create a locally adapted tool for measuring the vitality of the local community. It can be used as an indicator of the quality of life in terms of local policy-making, urban planning, or development forecasting. Therefore, it can be an important tool in the study of depopulating regions.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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; both teacher heads agree on what is shown here.
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".