“...waterlogged somewhere in mid-Atlantic.” Why American Readers Need Intralingual Translation but don’t often Get it1
Bibliographic record
Abstract
The quotation in the title is a comment on presumed American reception difficulties of British author Sue Townsend’s bestseller The Secret Diary of Adrian Mole Aged 13 3/4 (1982). A number of American reviews of the book and a questionnaire I used with American readers amply demonstrated a (partial) breakdown in transatlantic communication. Does this mean that American readers of British texts where informal register and cultural embeddedness predominate need some form of intralingual translation? As ‘speakers of the same language’ (albeit a pluricentric one) they do not often get it, in consideration of the widely held belief in a common language and culture. Thus, when shared British text producer-receptor pre-established knowledge schemata can no longer be consistently activated, Americans may well be at a disadvantage as compared with readers of interlingual translations.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 0.008 |
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".