Narrative space and spatial transference in Jacob and Wilhelm Grimmʼs fairy tales
Bibliographic record
Abstract
Owing to the lack of concrete information provided by the narratives and the genreʼs unspecified setting, narrative space in fairy tales has been largely overlooked or dismissed as an inactive background for the action. Research which has considered this topic typically views it in terms of its symbolic potential, studying space in order to learn about other narrative elements (e.g. characters) or the implied meanings of the texts. This dissertation views narrative space as a concrete, material aspect of the narrative which is significant in itself. The main research question posed in the dissertation is: what do fairy tales tell us about narrative space and what does narrative space tell us about fairy tales? The main aim of the dissertation is therefore twofold: first, it examines how narrative space is structured in fairy tales and how the fairy tale conveys space-related information; second, it asks whether there is anything about the traits and structure of fairy-tale space that can be seen as genre-specific, i.e. that sets the fairy tale apart from other short prose narrative genres. The research is based on a textual analysis of the English translation of Jacob and Wilhelm Grimmʼs collection Kinder- und Hausmärchen (Childrenʼs and Household Tales, 1857). While its primary focus is on fairy tales, the dissertation also considers other genres included in the collection (animal tales, legends, religious tales, etc.). The research combines the knowledge produced within fairy-tale scholarship (folklore and literature studies) with the methodological tools of narratology. By considering narrative space and spatial transference, the dissertation aims to prompt a reconsideration of the fairy-tale genre and its definitions. One of its key findings is therefore a revised definition of the fairy tale as a genre which encompasses two domains – the magical and the non-magical – separated by a firm boundary, which must be crossed in the course of the story. What sets this interdomain boundary apart is the fact that it can be crossed from both sides, but only temporarily and only if certain conditions are met. The examination of genres through the prism of the domain has led to a reconsideration of our initial genre classification and prompted the conclusion that aetiological tales, Schwank tales, and didactic tales, which were initially listed as independent genres, are modes (subgenres) rather than genres. The thesis also shows that fairy-tale space is dynamic and relational, and that the lack of explicit spatial information should not be seen as an indication of the insignificance of space, but rather an expression of the genreʼs stylistic parsimony. Although the findings are based on the study of the Grimmsʼ fairy tales, the dissertation aims to provide an analytical framework that is applicable to other fairy-tale corpora.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.023 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".