Bibliographic record
Abstract
In Chapter 18 of Adam Bede , the narrator describes Adam Bede’s thoughts during the church service and highlights how ‘a certain consciousness of our entire past and our imagined future blends itself with all our moments of keen sensibility’. To justify such a blending, the narrator points out that ‘the secret of our emotions never lies in the bare object, but in its subtle relations to our own past’ ( AB , 18:300). In her novels and other writings, George Eliot returns time and again to this theme of the formation of relations in time — ‘a continual stream of rhythmic memories’ ( MF , 4:3:256) — but it is the predominant sense of the collective that from the very beginning defines the meaning of these memories. The collective scope is never confined to the communities imagined in the fictional works; it always has implications for the society in which Eliot herself was historically situated. This study explores ‘memory’ in the work of George Eliot primarily as communal memory, though personal memory is treated as a related issue. ‘Communal memory’ here means forms, both fictional and real, of collective mentality and moral consciousness, shared feelings, manners, rituals, customs as well as verbal expressions, which have evolved over generations. They constitute the deep-running continuity of human life. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".