Leisure Activities and Rural Community Change: Valuation and Use of Rural Space among Permanent Residents and Second Home Owners
Bibliographic record
Abstract
Abstract Rural communities are getting more diversified in terms of people's backgrounds, sources of livelihood and interests towards the rural landscape. A common way to discuss rural community change has been to contrast in‐migrants and seasonal residents with long‐term rural residents. In this article, we aim to challenge this segmentation. We ask what it is to be a dweller in the modern countryside and how much the residential status has to do with people's interests and use of space. Based on a postal survey in a case study area in Finland, we look into the differences in the valuation of different leisure activities performed in rural space between second home owners and permanent residents. After dividing permanent residents and second home owners into further subgroups based on their spatial and temporal possibilities to engage in rural leisure, we found that there are no specific activities or groups of activities typical for certain groups of rural leisure space users. Differences between local residents and second‐home owners are rarely explained by this simple dichotomy, rather the differences are better explained by spatial and temporal accessibility.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".