Icelandic Women in Manitoba: Exploring the Role and Significance of Social and Cultural Capital in a Gender Context
Bibliographic record
Abstract
This study examines the Icelandic diaspora in Canada, with a particular focus on the province of Manitoba, highlighting the social and cultural capital of Icelandic women immigrants who played a pivotal role in forming not only their own communities, but also in shaping Canadian civil rights for women. Despite the challenges of migration, over 100,000 Icelanders have established a notable presence in Canada, prompting an examination of how Icelandic women utilized their unique backgrounds to achieve successful assimilation. The study sheds light on immigration patterns and the biographies of three prominent Icelandic-Canadian women (Jóhanna Ketilsdóttir, Anna Sigrídur Gudmundsdóttir Sigbjörnsson and Ingibjörg Björnsdóttir), reconstructed using newspapers and obituary data. Moreover, this chapter demonstrates how these women strategically employed their social and cultural capital to navigate within Canadian society, thereby contributing to a variety of fields related to women’s rights. A particular focus is placed on the key figure of Margaret Benedictsson, whose leadership in the women’s suffrage movement in Manitoba exemplifies the profound impact of social capital, education, and gender equality advocacy on the Icelandic-Canadian narrative. This study provides a comprehensive understanding of the Icelandic- Canadian experience, emphasizing the instrumental roles played by social and cultural capital in the assimilation and contributions of Icelandic women immigrants to the fabric of Canadian society.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.032 | 0.011 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".