GIFTS AND INTERESTS:<i>JOHN HALIFAX, GENTLEMAN</i>AND THE PURITY OF BUSINESS
Bibliographic record
Abstract
IN HIS INTRODUCTIONtoThe Question of the Gift, Mark Osteen claims that “economism … is the land mine of gift theory” (5). For many theorists, he explains, gift-giving and market exchanges share the same forms of calculation; for others, more specifically, self-interest is the “objective truth” of the gift. The challenge that gift discourse has taken up in recent years is how to rethink reciprocity, altruism, and generosity while at the same time avoiding both the “Scylla of sentimentality and the Charybdis of economism” (Osteen 31). In this paper I discuss Dinah Mulock Craik's mid-Victorian bestseller,John Halifax, Gentleman(1856), using gift theory (or some insights thereof) as my main analytical tool. Why is gift theory relevant to the understanding of a novel that openly extols the advantages of self-help and economic individualism?
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.016 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".