Anàlisi del procés participatiu per la nova llei de participació ciutadana
Bibliographic record
Abstract
Durant els darrers anys hi ha hagut una proliferació de processos participatius a Catalunya. Aquesta recerca estudia el cas del procés participatiu de la nova llei de participació ciutadana de Catalunya, amb la finalitat d'identificar quin és el model de procés participatiu emprat en aquesta casuística i identificar les oportunitats de canvi. Per poder fer-ho s'ha estructurat el treball en tres àmbits: el marc teòric on es reflexiona sobre la crisi de la democràcia representativa i les possibles vies per millorar-la; l'estudi del procés participatiu des del context, el disseny, la implementació i l'anàlisi de les entrevistes: i, finalment el tercer bloc inclou les conclusions, la taula d'il.lustracions i les fonts documentals.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".