The Archetypal Character of Eve: A Comparative Overview of Modern Czech, French and Canadian Literatures
Bibliographic record
Abstract
There are very few archetypal characters being more important for European cultural tradition than the Biblical first woman – Eve. As evidenced by literary onomastic research, the very use of semantically loaded first names implies intertextual connectedness, fulfilling – in most cases – associative and symbolic functions. This reference to archetypal stories and heroes makes it possible to create a multitude of new semantic layers, but it also serves to keep their original sense in cultural and collective memory. In our contribution, we seek comparative analysis and interpretation of selected characters, bearing the name of Eve, in modern French, Canadian and Czech literatures. The study focuses on variants, shifts, and similarities that, to varying extents, refer to the first Biblical woman. Throughout both the national literatures, we observe forms of the pretext−posttext relation and concrete onymic functions of the name of Eve in the time span from the close of the 19th century to the present day.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.018 | 0.019 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".