Partispace Deliverable 7.2: Youth Participation Training Module
Bibliographic record
Abstract
This module has been developed from the Partispace research on spaces and styles of youth participation, conducted in eight European cities between 2015 and 2018. The research was undertaken by a team led by Andreas Walther of Goethe University Frankfurt and funded by the European Union under the Horizon 2020 programme. The aim of the module is to use key findings from this ground-breaking project to support learning and development amongst youth workers and other practitioners working with young people, as well as students of youth policy and practice. In the research, we learned about the interaction between policy and practice at the local, national and European levels. We learned about the settings in which young people participate and the purposes of that participation. We learned about the kinds of young people who participate and the rich variety of ways in which they participate. We learned about how young people, and those working with them, understand participation, and how much that is different from the dominant ‘official’ understandings. Above all, we learned about young people’s experiences of participation, and how those can be made better.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.006 |
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".