Bibliographic record
Abstract
Poet Paul Celan speaks of a poem as ‘a message in a bottle’ washing up on ‘heartland’ (2001: 396). This idea is indeed a poignant one for our times, and for the estrangement as well as strangeness being experienced (at the time of writing) as a result of ‘lockdown’, ‘self-isolation’, and ‘social distancing’. But how can it shape the development of poetries between India and Australia? Celan’s notion has a timelessness and universality, based as it is on an intensely dialogical poetics. As this paper attempts to show, the nuances of this poetics become increasingly pertinent to this exchange between Kolkata-based academic Sharmila Ray, and myself, Perth-based poet Mags Webster. It has been, for me, an exercise in seeking poetic and ontological common ground. I discuss how, prompted by Ray’s epistolatory approach to her home city of Kolkata, I came to interrogate more deeply, in my responses and through my thinking, notions around not only the ‘to whom’ of the poem, but also, and perhaps more importantly for this particular project, the ‘about whom’.
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.022 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.022 | 0.013 |
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".