Wer kandidiert für wen? Rekrutierungspotenziale politischer Parteien und kommunaler Wählergemeinschaften im Vergleich
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
In Germany, there are an estimated 200,000 seats to be filled at the local level in city and municipal councils, city council assemblies, and district councils . It is of fundamental importance for the functioning of local democracy that a sufficient number of candidates can be found for these mandates . Against this background, the recruitment potential of political parties and municipal voters’ associations with regard to candidates for mandates at the local level is examined comparatively . The data basis is a representative population survey conducted as part of the 2017 German Party Membership Study . It is shown that a good quarter of the population can in principle be won over to a candidacy at the municipal level . Ten percent would only run for a party, six percent only for a municipal voters’ association and a further ten percent for both political groups . These three candidate potentials each have a specific profile regarding their socio-structural composition and their political attitudes .
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 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 it