Bibliographic record
Abstract
Der Sammelband beschftigt sich mit der Frage, welche Mglichkeiten es gibt, geisteswissenschaftliche (Forschungs-)Inhalte anschaulich, lebendig und verstndlich zu kommunizieren. Der Band ist im Rahmen des geisteswissenschaftlichen Lehrprojekts Lost in Translation?an der Universitt Bremen entstanden.Nach einer Einhrung in die Besonderheiten von Wissenschaftskommunikation in den Geisteswissenschaften analysieren die Beitrge die Rolle der Geisteswissenschaften im Kontext der internen und externen Wissenschaftskommunikation und legen dabei einen exemplarischen Schwerpunkt auf die Fremdsprachendidaktik/-forschung. Die Beitrge thematisieren dabei u.a. Citizen Science Projekte, Wissenschaftskommunikation in sozialen Netzwerken und die Nutzung von Videos in der geisteswissenschaftlichen Wissenschaftskommunikation.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.015 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".