Neo-humanism and the Modern World: A Philosophical Perspective through the Lens of Philip Roth's Everyman
Bibliographic record
Abstract
Everyman by Philip Roth is a realistic work that covers the life of an unnamed Jewish American from childhood to adulthood in a bildungsroman style, slowly revealing mundaneness in every element of life and potentially being related to "Everyman" who exists in the world. An individual's self-centered focus and an abundance of ideas that examine his very existence and the proportion of significance he has had in the lives of those around him relate to the exciting phases of life that parallel the universal narrative of marriage, divorce, betrayal, sex, regret, emptiness, introspection, anxiety, ageing illness, and death. Everyman by Philip Roth makes many allusions to the memories and experiences of immigrants. It speaks to people who live lives torn between the past and the present, between freedom and religion, and between finding transcendence through humanism rather than via faith in God. It also talks on the ideological conflicts that have developed between dads and sons as a result of contemporary upheavals. The potential conclusion of the study is that modern humanism is founded on this through negation in the creation and consumption of texts, on the notion that human civilization is not monolithic but rather multifaceted and dynamic, meaning that understanding it requires a long gaze through immense time and the novel perspectives of modernity.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.040 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".