A inclusão social através do desporto: novos desafios na Intervenção Social = The social inclusion through sports: new challenges in social intervention
Bibliographic record
Abstract
Despite the general consensus regarding the potential of sport in creating networks of sociability and affinity in community or territorial spaces, exclusion in sport continues to manifest, especially as it manifests in the different social spaces of each society. With this article, we intend to contextualize the potential of sport in social inclusion, particularly as a space for learning values of solidarity or cooperation associated with the principle of fair play. In the conceptualization of the problem under analysis, concepts or notions capable of becoming operative in the empirical research of the phenomenon, such as affiliation, stage of connect people, social capital, corporal capital, sports capital and empowerment, are proposed. In the deepening of the theme, we took into account the relevance of the social dimension of sport in European policies since the beginning of the 21st century, and the incentives that result from there, for the creation of a new field of intervention and research of social sciences.
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 | 0.043 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.079 |
| Scholarly communication | 0.018 | 0.020 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".