Western Icelandic Women Writers: Their Contribution to the Literary Canon
Bibliographic record
Abstract
Guomundur Finnbogason's anthology Vestem um hafy published as a gesture of friendship to American-Icelandic visitors at the millennial celebration of the Aljpingi in 1930. Although the book has done much to attract attention to Western Icelandic literature, the editors' selection is somewhat unfortunate, because it gives the mistaken impression that among firstand second-generation Icelandic immigrants in Canada and the United States writing was almost exclusively a male venture. Of the thirty-six writers included in Vestan um hafy only three are women: Jakobina Johnson (1883-1977), Guorun H. Finnsdottir (1884-1946), and Laura Goodman Salverson (1890-1970). Stefan Einarsson (1948: 233-255) in his survey of Western Icelandic prose writers adds to these three Rannveig K. G. Sigbjornsson (1880-1963) and Arnrun fra Felli (pen-name of Guorun Tomasdottir; 1886-1963) and makes brief mention of Torfhildur Eorsteinsdottir Holm (1845-1918) and Holmfriour G. C. Sharpe (1858-1898), while Richard Beck (1950: 199-242) in a similar survey of Western Icelandic poets, includes discussion of only Jakobina Johnson and Laura Goodman Salverson and briefly mentions Undina (pen-name of Helga Steinvor Baldvinsdottir; 1858-1941) and Helen Swinburne Lloyd (1892-1979). That these historical overviews are somewhat misleading as far as the literary activities of women writers are concerned is evident not only
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".