Bibliographic record
Abstract
The texts in this book are based on a selection of the paper presentations and Keynote lectures held during the Centre for Scandinavian Studies Copenhagen – Lund’s (CSS) second biannual international conference in the field of Scandinavian Studies. The conference took place in Lund, at the joint Faculties of Humanities and Theology of Lund University between May 16-18, 2019. This year’s theme was “Scandinavian Languages and Literatures Worldwide – Prospects and Challenges” and the central topics being researched and discussed were: Scandinavian Literature in the World Translations of Scandinavian Literature Scandinavian Children’s Literature in the World Linguistic and literary constructions of the North The Framing of Scandinavian Studies Worldwide Nordic Languages in the World / World Languages in the Nordic Countries The conference had three Keynote lectures: Språk och psykologiskt lokalsinne, by Sigrid Combüchen (Author and former Senior Lecturer at the Centre for Languages and Literature, Lund University) [see below] Region. Verden. Arkipelag – Nordisk litteratur og Tomas Tranströmers “Östersjöar”, by Dan Ringgaard (Professor at the School of Communication and Culture - Scandinavian Studies, Aarhus University) [see below] Beyond Noma, Björk and Bergman – How the Nordic Countries could increase their Soft Power, by Francisco Beltran (Senior Lecturer at the Department of Political Science, University of Toronto) Following long established international praxis in the field of Scandinavian Studies the texts are written in any of the Nordic languages or in English.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.035 | 0.016 |
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".