Bezdomovectví v České republice: Současné a budoucí možnosti začlenění lidí bez domova zpět do společnosti
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.016 | 0.016 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it