Social and demographic determinants of Nordic Walking practice models
Bibliographic record
Abstract
The article is devoted to the sociological exploration of the social phenomenon that Nordic Walking has become in Europe and worldwide over the recent decades. The purpose of the study was to develop models of Nordic walking, relating to the motivating factors, dominant elements and functions of this activity. In addition, the socio-demographic determinants of the developed models are indicated. The study included 416 Poles, 132 Europeans from 11 countries (Germany, the UK, Spain, France, Italy, Portugal, Ireland, Denmark, Austria, Sweden, and Norway), and 212 participants from 5 non-European countries (the USA, Canada, Australia, New Zealand, and Japan). We have distinguished four models of Nordic Walking, relating to selected core elements in the analysis of social action and social participation: personal development and self-realization; health and fitness; satisfaction and well-being; ties and community. Each of them is a combination of motives, key elements considered by respondents as dominant in the experience of practicing Nordic Walking, and the functions the activity performs. At the same time, each of the models is constituted by a specific set of factors showing what socio-demographic characteristics are associated with the orientation to particular arrangements of leading elements. Our survey provides valuable information on the areas where the content and functions of the sport are located. The knowledge obtained can form the basis for designing health policies and preventive measures. It can also be useful for animators and organizers of local initiatives when creating health, activation or integration offers tailored to the needs of different age groups.
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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".