Barry Forshaw. Nordic Noir: The Pocket Essential Guide to Scandinavian Crime Fiction, Film & TV.
Bibliographic record
Abstract
and Death in a Cold Climate: A Guide to Scandinavian Crime Fiction (2012). In a review article in this journal (2013), I concluded with regard to Death in a Cold Climate that while it was a useful and often insightful guide, it suffered from a tendency to digress and to pad the writing with lengthy and often irrelevant quotations from authors, translators, and publishers (Lingard 184), and too great a concentration on Swedish writers at the expense of their colleagues in the other Nordic countries. Nordic Noir offers a quantum leap in organization and balance. Forshaw still uses quotations, mainly from authors and translators, but these are always to the point, and many are from personal interviews and conversations that provide a welcome sense of immediacy to the reader. Similarly there is a fairer balance among the five Nordic countries, including the Faroe Islands, in political terms Danish, but with a literary tradition of their own, most notably in the novels of William Heinesen, whose De fortabte spillemaend (1950) [The Lost Musicians 1971] is to my mind a masterpiece of magic realism.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".