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
The selection methods of party leaders in Israel have gone through a gradual shift during the last 30 years. Like parties in several other democracies (Canada, United Kingdom, Japan), the major Israeli parties have changed their internal distribution of power to give their members a role in candidate and leadership selection. In Israel, as elsewhere, among the reasons for this reform was the desire to reduce the oligarchic tendencies of parties by creating a participatory revolution and by providing the rank-and-file members a chance to make a difference. This study maps the various methods used by Israeli parties for selecting their leaders and asks what the positive and negative consequences of the opening of the selection process are. The first section presents the various methods used by parties for selecting their leaders. The following three sections deal with the gradual process of democratization in leadership selection that occurred in the two major Israeli parties, and in other parties. The final section discusses the consequences of this democratization and tries to assess whether there is an ideal method for selecting party leaders.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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