Bibliographic record
Abstract
This work is a cultural economics study of the problem of translation production and assessment in and leading up to the literary Nobel Prize deliberations. I argue that the constraints of assessing an unevenly and partially translated body of literary works, many of them from less common languages, present an unbreachable expertise gap. Translation as a sacralization, or consecration in Casanova’s (2004) term, of a writer’s work is considered in the context of the award. Ultimately the prize is shown to depend upon translations carried out in dissimilar circumstances for each candidate. The award of the Nobel is part of the founder’s call for works to be more widely circulated, not to reward fame; thus a Nobel is more an invitation to translate than a recognition of an author in translation, although evidence suggests that the post-Nobel translational impact may vary by writer and over time. This study sheds light on the degree to which the Prize is an authority-mediated phenomenon, and while critiquing the quixotic task of judging disparate forms and amounts of cultural capital side by side, and never from a point of neutrality, it also attempts to show how translation shapes this symbolic form of prestige in the struggle for existence. I posit that alternative prizes and prize-awarding in general as fraught with similar cross-language challenges. Possibilities for future research, qualitative analysis of the Nobel and translation demand, among other consequences, are briefly sketched.
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 | 0.001 | 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 | 0.001 |
| 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".