Bibliographic record
Abstract
Mary MacLeod (Màiri nighean Alasdair Ruaidh) was a rarity: a female bard in seventeenth-century Scotland. While her lyrics were honoured, she was also marginalized, denigrated as a witch, and exiled, both for being a writer and for what she wrote. Presented as a chronicle of journeys through the Scottish Hebrides, More Richly in Earth explores MacLeod’s legacy, preserved within landscape, memory, and identity. In an act of recovery and restoration, Canadian poet and novelist Marilyn Bowering pieces together the puzzle of radically different accounts of MacLeod’s life, returning to the places the bard once lived with the help of contemporary Scottish Gaelic poets and scholars. Through investigation and imagination, Bowering forms a connection with MacLeod despite vast differences of culture and language, time and place. Their connection deepens as Bowering twines MacLeod’s story with accounts of the people and places that shaped her own life, a connection that ultimately reveals the foundations of Bowering’s artistic vocation to herself. MacLeod’s life and writing, little known today beyond the Gaelic world, harbours cultural truths about a transformative era of war and colonization in Gaelic Scotland. Bringing a poetic sensibility to investigative scholarship, More Richly in Earth offers a profound reflection on the necessity of art in all forms.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".