Bibliographic record
Abstract
Flannery O’Connor is identified today as one of the most outstanding American Southern writers. Enlightened by Christianity, she treats spiritual crisis as her works’ eternal theme. She believes that writers’ responsibility is to help the readers get profound insight into humanity. The critical reviews on O’Connor’s works have focused on the religious motif and the characters’ grotesqueness, sin and salvation, etc. So far, researches have been conducted within the framework of new criticism, feminist criticism, violence aesthetics and narratology and so on. Until now, however, few Freudian psychoanalytic studies have been done to explore the internal reasons for the characters’ grotesqueness and the author’s writing motivations. So this paper applies such Freudian concepts as libido, defense mechanisms and life- and death instinct to interpret the protagonist in O’Connor’s “Good Country People”, in an attempt to shed light on Hulga’s actions and minds as well as the author’s motivations. Moreover, the integration of Freudian psychoanalysis into the social background and the author’s experiences provides us with a new perspective to scrutinize the inner nature of O’Connor and her fictional figures.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.027 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".