‘Ever So Many Partings Welded Together’: Serial Settlement and Great Expectations
Bibliographic record
Abstract
Foregrounding the novel&s;s own often overlooked identity as a periodical serial text published in All the Year Round this chapter will situate it alongside a number of serialized novels about Australian and Canadian settler emigration which were published in equivalent journals from mid-century. Charles Dicken argues that reading Great Expectations in the light of these predominantly domestic and significantly serialized novels affords a means of both refining our understanding of its engagement with colonial history and reconceptualizing its troubled preoccupations with home, departure and nostalgic return. Accordingly, Dicken shall reference Cedar Creek alongside his primary analysis of The Caxtons and Frank Layton as a means of illustrating both the transnational range of the settlement-themed novel, and the duration of its currency into the early 1860s. Just as Great Expectations can be viewed as being troubled by the same issues which concern other more directly emigration-themed texts, it is Dicken&s;s contention that it also plays out its countering drives towards settlement.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.018 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".