Bibliographic record
Abstract
Charting Collaborative Practices: Acknowledgements Each issue of Paroles gelees requires the effort of various individuals to reach publication. As in years past, this issue includes selected proceedings from the Annual UCLA Department of French and Francophone Studies Graduate Student Conference. In the Fall of 2008, the students of our department were pleased to host colleagues from throughout the U.S. and Canada who came together to address the theme “Nulle œuvre n’est une ile : Collaborative Practices in the French-Speaking World.” Dedicated to this topic, the current volume of Paroles gelees has relied perhaps more than ever before on the combined talents and commitment of the many who contributed to its development. This year, the French and Francophone Studies graduate students voted in majority to move to online publication as a means to make our journal more accessible to the academic community and broader public, as well as promote environmentally sustainable practices at the university. We are therefore especially indebted to Stacey Meeker, Director of Publications for the UCLA Graduate Students Association, for providing invaluable support and expertise to ease its transition to electronic form. Prior issues of Paroles gelees are now stored in The Internet Archive thanks to the assistance of Carol Nishijima and Bonnie Tijerina at the UCLA Young Research Library. They are likewise available in the University of California EScholarship Repository, along with this volume, thanks to the training and support provided by staff at the Berkeley Electronic Press. The editors would like to thank fellow
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.037 | 0.124 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.015 | 0.018 |
| Scholarly communication | 0.026 | 0.032 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.008 | 0.014 |
| Insufficient payload (model declined to judge) | 0.022 | 0.008 |
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 source (direct Gemma or distilled Codex), 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".