Bezdomovectví v České republice: Současné a budoucí možnosti začlenění lidí bez domova zpět do společnosti
Bibliographic record
Abstract
This Bachelor Thesis is focused on the possibilities of reintegration for homeless people and the government's approach to the homelessness issue. Analysis of the current possibilities of reintegration brings results that support for homeless is provided mainly by non profit-making organizations, eg. Naděje, Nový prostor or Armáda spásy. Homeless people have an opportunity to use the services of shelters. They can achieve earnings as workers in the social firms, community work, or sheltered employment. Based on the comparison of the newly introduced Strategy for Preventing and Tackling Homelessness in the Czech Republic by 2020 with the approach to the homelessness issue in Finland and Canada this thesis recommends especially to target measures to the most affected areas of homelessness and to reassess financing. Comparison of selected countries brings the finding that Canada has the highest proportion of homeless people in the total population and Finland has the largest expenditures on homelessness issue.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".