Bibliographic record
Abstract
This paper is concentrating on the varied aspects of returning from exile which Iain Crichton Smith investigated, from migrants coming back from Canada to soldiers returning from wars, or from workers retiring from the Lowlands to their Gaelic-speaking native islands and glens to young men and women who, after being educated out of their villages, realise, before or when returning, they can no longer adapt because times have changed—to them all, returning from exile is yet another exile.By means of the aporia of “The Departing Island” Iain Crichton Smith relishes on reversing common perceptions of reality. His study on exile and return from exile first of all sets the major issue of the loss of the native language. If all reasons for exile can be summed up in the call of the sea, those for the return from exile are best epitomised in the title of the prose poem, “You are at the bottom of my mind”. Finally, Crichton Smith’s answer to the aporia of the departing island is his own return ad patres, as developed in his last collection of poems, The Leaf and the Marble.
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 | 0.002 | 0.005 |
| 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 | 0.014 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".