Normal People: Kudos to Vulnerability, A Tribute to Friendship
Bibliographic record
Abstract
This paper intends to undergo a comparative study on George Eliot’s Daniel Deronda (1876) and Sally Rooney’s Normal People (2018). The nature friendships the characters display in the aforementioned novels are of various attributes. Principles of religious, economical, racial, and societal heritage come together to delineate the relationship the four characters experience and brandish. The theme of power struggle in interpersonal relationships and the related parameters in play will be discussed through the ideas of Michelle Foucault, Luce Irigaray, Emmanuel Levinas, Frank Lovett, Jacques Derrida, and Aristotle. Among the defining factors to be tended to, vulnerability, the element of time –futurity-, death, and the approach towards “the other” are dominant. An almost two century-interval between the two literary works has marked a tremendous difference in the attitude of the protagonists towards friendship and conversion. The paper attempts to explore the inevitable factors, defining a friendship, the constituents empowering it along with those reducing it to an entity of its own negation.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.031 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".