Forests, Clearings, and the Spaces in Between: Reading Land Claims and the Actuality of Context in Ana Historic
Bibliographic record
Abstract
“Women are ground, women are nature,” writes British Columbian poet, novelist, and critic Daphne Marlatt in “Self-Representation and Fictionanalysis,” a paper that maps and theorizes the work she does in her 1988 novel Ana Historic . Such claims by Marlatt have brought on accusations of essentialism from critics, who have read Marlatt’s writings “as advancing a reductive search for origins.” While this article doesn’t read her claim of an essential female connectivity with ‘ground’ and ‘nature’ as reductive, it does see in it, and in Ana Historic ’s various references to indigeneity, an invitation to wrestle with the problematics of seeking self-identity with the land when dwelling on contested ground. This article, as it examines Ana Historic ’s penetration and translation of British Columbia’s south coastal space, argues that while the novel is critical of the province’s male narratives of resource extraction and settlement, it is itself actively engaged in an appropriative ordering of geography that posits that identity may be wrought from the space where forest and clearing meet.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.032 | 0.047 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| 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".