10.70266/9783886177202
Bibliographic record
Abstract
Was trägt zur Entwicklung inklusionsorientierter Wohnangebote bei? Die Arbeit mit einem Instrument wie dem »Index für Inklusion zum Wohnen in der Gemeinde«, kann Fragen nach Hintergründen und Handwerkszeug aufwerfen. Diese weiterführenden Fragen werden in den Fachbeiträgen von verschiedenen Expert(inn)en verständlich und praxisbezogen beantwortet. Darüber hinaus veranschaulichen zahlreiche Praxisbeispiele aus vielen unterschiedlichen Städten und Kommunen, wie ein Auf- und Ausbau inklusionsorientierter Wohnangebote gelingen kann. Querverweise sowohl im Fachbuch als auch im Handbuch des Index selbst helfen, schnell weiterführende Informationen zu finden. Das Fachbuch richtet sich an • Wohnanbieter, • wohnbezogene Dienste, • Institutionen und Kommunen, • Menschen mit Exklusionsrisiken
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.998 | 0.999 |
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; both teacher heads agree on what is shown here.
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".