Bibliographic record
Abstract
This paper demonstrates how the two ostensibly contradictory concepts of power assumption and autobiography can co-exist simultaneously in paracosmic juvenilia, that of Charlotte Brontë in particular. Many critics assert that marginalized or isolated children use their writings as vehicles with which to assume the kind of power denied to them as minors in reality, whereas others view juvenilia as autobiographical platforms through which children can articulate their experience of the world. However, these theories are not exclusive to juvenilia, nor is the concept of a paracosm, a term which originated in the study of childhood play. Drawing on the work of such critics as Stephen MacKeith, David Cohen, and Christine Alexander, this paper examines Brontë’s Glass Town and Angrian narratives in order to demonstrate that her paracosmic world both distorts and mirrors aspects of herself and to argue accordingly that Brontë’s juvenilia is neither strictly autobiographical nor a vehicle to assume the power denied to her in reality.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".