The ‘Alien’ European: British Accounts of Portugal and the Portuguese, 1780–1850
Bibliographic record
Abstract
In A journal of a few months’ residence in Portugal and glimpses of the South of Spain (1847), Dorothy (Wordsworth) Quillinan wrote: If I had set out from home with the project of writing a book, I might as well perhaps have gone to Portugal as to any remoter quarter; for […] there is, I believe, no country in Europe that is less thoroughly familiar to us […]. 1 In several other passages of this journal, written during the author’s residence in Portugal between 1845 and 1846, she expresses surprise at how ‘new’ most of the country was to the British though a mere ‘three days’ voyage from the Isle of Wight. 2 The reader may well share in her perplexity, for how could Britain’s oldest ally, the subject of travel narratives by wellrespected authors such as James Murphy, 3 Robert Southey, 4 William Morgan Kinsey 5 and William Beckford, 6 be so unfamiliar to the British? What did Quillinan mean by new? These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".