Bibliographic record
Abstract
Two famous contemporary novelists, the Canadian writer Margaret Atwood and the American writer Marilynne Robinson, both use the biblical name Gilead in their novels. Atwood names the dystopian republic in The Handmaid’s Tale (1985) and The Testament (2019) Gilead, and Robinson uses Gilead both as title for her 2004 novel as well as a name for the little Midwestern town depicted there. Why Gilead? What possible meaning is gained in these modern texts by using this biblical name? To try to answer these questions the article first investigates texts associated with the toponym Gilead in the Hebrew Bible to elucidate possible meaning attached to it there, and secondly the meaning attached to Gilead in the novels. Inspirational for this investigation is the new subject curriculum for KRLE in Fagfornyelsen 2020 where learning outcome is described in very general terms. This means that for instance future Norwegian students’ biblical knowledge may be unequal throughout the country and most likely weaker than at present. Does that matter when it comes to appreciating such novels as the ones discussed here?
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.009 |
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".