Die Kontroverse um die geschlechtsindifferente Referenz in der Frankophonie
Bibliographic record
Abstract
In ihrer Dissertation taucht die Autorin tief in die Kontroverse der geschlechts-indifferenten Referenz, einer Thematik, die weltweit ins öffentliche Interesse gerückt ist, ein. Sie untersucht laienlinguistische Einstellungen frankophoner Studierender aus Frankreich, Belgien, der Schweiz und Québec in Bezug auf die zwei Grundprinzipien zur geschlechtsindifferenten Referenz: den generischen Gebrauch des Maskulinums und die geschlechtersensible Formulierung. Ziel ist es, herauszufinden, welches Grundprinzip Studierende bevorzugen. Ferner sollen gebiets- und geschlechtsspezifische Unterschiede in Bezug auf diese Einstellungen überprüft werden. Dafür wurde eine Online-Fragebogen-erhebung mit 1.000 Befragten durchgeführt, deren Ergebnisse qualitativ und quantitativ ausgewertet wurden.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.007 |
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".