Bibliographic record
Abstract
“Exposed Roots” is a collection of seven interconnected short stories following a farming family, told through the perspective of middle daughter Anna. The stories reflect the shifting uncertainties of their narrator, weaving the past and present together and, on occasion, blurring the lines of reality. Characters include a grandfather single-mindedly dedicated to his farm, an aunt whose resentment drives her from her family, a father who simultaneously wants his children to have their own lives but also stay within the family business, and a mother and grandmother who have come to this family farm as “outsiders.” The farm is not an idealistic, pastoral location; it is a place of hardship and uncertainty, where nature works for, or against, success as much as the people do. The farm represents either a solace or a cage for each family member, and at times both for Anna. My essay, “Stunting Growth: The Narrator’s Liminality in ‘Exposed Roots’” explores Anna’s position through the lens of liminality, as she is caught between family members, between her responsibilities and desires, and between childhood and adulthood. Anna’s role is as both narrator and protagonist who exists inside the family conflicts, yet fears failing her family’s expectations. As the central figure between the reader and the story, she is the means through which the reader accesses the characters surrounding Anna, and the world they all occupy. Anna, thus, must come to terms with her familial and independent positions, and learn how to take control and act for herself.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.214 | 0.074 |
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".