Bibliographic record
Abstract
With a radically changing world, cultural identity and images have emerged as one of the most challenging issues in the social and cultural sciences. These changes provide an occasion for a thorough reexamination of cultural, historical, political, and economic aspects of society. The INOR (Iceland and Images of the North) group is an interdisciplinary group of Icelandic and non-Icelandic scholars whose recent research on contemporary and historical images of Iceland and the North seeks to analyze the forms these images assume, as well as their function and dynamics. The twenty-one articles in this book allow readers to seize the variety and complexity of the issues related to images of Iceland. The research project is led by Sumarliði Isleifsson of the Reykjavik Academy, Iceland, where most of the participants are based, and Daniel Chartier of the International Laboratory for the Comparative Multidisciplinary Study of Representations of the North, based at the Universite du Quebec a Montreal. The Droit au pole series, published by the Presses de l’Universite du Quebec, disseminates literary and cultural studies that enable readers to understand and interpret the imaginary of the North, Winter, and the Arctic.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".