Review of *Tasmanian Visions: Landscapes in Writing, Art and Photography*, by Roslynn D. Haynes
Bibliographic record
Abstract
In the last quarter of the twentieth century, the margin became the centre of attention. The shift to late capitalism ascribed new value to the local, the 'authentic' and the niche. In Tasmania this phenomenon coincided with the rise of a homegrown Green movement, and the return to prominence of the island's Aboriginal people, who successfully fought for possession of Truganini's remains at the 1976 centenary of her death. The confluence of these global and local factors altered Tasmania irrevocably. From being a place writers like Peter Conrad could not leave fast enough, it became one others gravitated to. The cultural life of Tasmania consequently became of increasing interest to scholars as well. Historians including Henry Reynolds, Cassandra Pybus, and Hamish Maxwell-Stewart have been some of the most visible working in this area, but those in a range of other disciplines, particularly English, Environmental Studies and Indigenous Studies, have become pre-occupied with the island, too.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".