Bibliographic record
Abstract
Vom 7. bis 10. August 2023 lud die International Academy of Sex Research (IASR) zum 49. Mal zur jährlichen Konferenz nach Montréal ein. Ziel dieser Tagung ist es, Forscher*innen unterschiedlicher Disziplinen in den Austausch zu bringen und sowohl inhaltlich als auch methodisch verschiedenste Facetten der Sexualforschung zu beleuchten. Das Programm der Konferenz bot eine breite Palette von über 50 Vorträgen und mehr als 100 Posterpräsentationen. Anders als viele andere Forschungskonferenzen ist die der IASR plenar organisiert, was den Vorteil bietet, dass alle Teilnehmer*innen die Möglichkeit haben, sämtliche Vorträge zu verfolgen und keine Informationen zu verpassen. Allerdings hat diese Organisationsform auch zur Folge, dass seltener kleine Diskussionsrunden entstehen.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.014 |
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".