Bibliographic record
Abstract
Tennyson and Victorian Periodicals: Commodities in Context, by Kathryn Ledbetter, Aldershot, Hants: Ashgate, 2007, 244 pp., illustrated, £55.00, ISBN 978-0-7546-5719-4 Tennyson Transformed: Alfred Tennyson and Visual Culture, edited by Jim Cheshire, Farnham, Surrey: Lund Humphries, 2009, 160 pp., illustrated, £40.00, ISBN 978-1-84822-003-4 Tennyson among the Poets: Bicentenary Essays, edited by Robert Douglas-Fairhurst and Seamus Perry, Oxford: Oxford University Press, 2009, xvi + 436 pp., illustrated, £50.00, ISBN 978-0-19-955713-4 ‘What other literary career can offer us such intriguing glimpses into the overlap between poetry, art, technology and commerce?’ (Jim Cheshire, Tennyson Transformed, p. 17) Queen Victoria and Alfred, Lord Tennyson ‘were arguably the most popular of all media objects’ in nineteenth century periodicals. (Kathryn Ledbetter, Tennyson and Victorian Periodicals, p. 144) ‘These essays seek to show that Tennyson's time continues to be our own.' (Robert Douglas-Fairhurst, Tennyson Among the Poets, p. 13) Alfred Tennyson still looms large in twentieth-first-century culture. He has more pages in the Oxford Dictionary of Quotations than any other English poet apart from Shakespeare. ‘The Lady of Shalott’ (1832, rev. 1842) has a vigorous afterlife in a great number of websites and in contemporary music. (The poem has even been recorded by an Israeli progressive rock band and dramatized by the Early Arts Guild of Victoria, Australia.) He haunts North American literature, particularly children's literature, in the novels of L.M. Montgomery and Laura Ingalls Wilder (and a modern Canadian novelist, Joan Givner, has called her latest work A Girl Called Tennyson (2010)). His lines echo in the heads of our own great communicators: ‘The long day wanes; the slow moon climbs’, was how James Naughtie, on BBC Radio 4's Today programme described a particularly long-drawn-out political negotiation (May 2009). Perhaps most powerfully, Tennyson gave us the phrase which resounds today in the media, seemingly indispensible to the recently revived evolutionary debate – ‘Nature, red in tooth and claw’.1 He has, in Christopher Ricks's phrase, a ‘unique unignorability’ (Tennyson among the Poets, p. vii). To put it in more materialist terms, he is still today, across the world, a cultural commodity.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
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".