Diversiteit die bijt: wijkvernieuwing en het recht op de stad
Bibliographic record
Abstract
Grote steden zijn van oudsher de woon-, werk- en leefplaats van mensen<br/>met een enorme variëteit aan achtergronden. Onder invloed van<br/>snel veranderende economische structuren, internationale migratie<br/>en groeiende sociaaleconomische ongelijkheid worden steden niet<br/>alleen steeds diverser qua bevolkingssamenstelling. Ze worden ook<br/>steeds meer het toneel van strijd om schaarser wordende hulpbronnen,<br/>zoals toegang tot betaalbare woningen, onderwijs en voorzieningen.<br/>In deze strijd delven groepen met lage en midden inkomens in toenemende<br/>mate het onderspit. Juist de laagste inkomensgroepen<br/>kampen met uiteenlopende problemen op het vlak van onderwijs,<br/>werk, inkomen, huisvesting en gezondheid.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.013 | 0.006 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.009 | 0.014 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.022 | 0.007 |
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".