Bibliographic record
Abstract
The essay is to explore how Hester Prynne accomplishes subjectivity-construction in the ordinate and harsh puritan community, full of discipline and punish. In the process of the subjectivity-construction, Hester Prynne not only confronts and surpasses the sin and the shadow of her own self, but also transcends and breaks the invisible web of the inhuman and tough regulations filtering in every corner of the puritan community. She accomplishes a near-perfect transformation from a sinning object despised and chastised by all the community members to a new feminine figure who regains their applause, respect and love in the end. Through the heroine’s glorious and admiring transformation, Nathaniel Hawthorne poses a suspicion upon the naive belief on the human nature: genuine and full of smiling aspects, upheld by the transcendentalists and prevailing at his time. He also chastises the inhuman regulations, disciplines and punish of the harsh puritan community which twist and crush the souls of the community members. But more important and inspiring point of the novel lies in that through the heroine’s glorious and admiring transformation and subjectivity-construction, Hawthorne reasserts the shining and glorious human nature of Hester Prynne, which reflects his humane concern towards the ones tortured, disciplined and punished by the prison-like society.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.016 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".