Bibliographic record
Abstract
Published work by a Douglas College Student Alumni. Gia and Serena Pirji are sisters, but as the first-generation born in Canada to immigrant parents, their lives play out in different ways because of their skin tone. Gia's fair skin grants her membership to cliques of white kids as a teen, while Serena's dark skin means she is labelled as Indian and treated as inferior. This superficial difference, imposed by a society obsessed with skin colour and hierarchy, sets the sisters into a dynamic that plays out throughout their lives. In a world where white skin is preferable, the sisters are pitted against each other through acts of revenge and competition as they experience adultery, ruined friendships, domestic abuse, infertility and motherhood. Taslim Burkowicz's vivid, sensory-rich writing style brings readers to the party scene in Goa, suburban supermarkets in Vancouver and a safari in Africa, where Gia and Serena navigate through the highs and lows of a tumultuous, loving relationship. The Desirable Sister reveals the bitter games of treachery women are forced to play to achieve the ranks of beauty and success, and ultimately shows the strength of love between sisters. From publisher description.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.156 | 0.066 |
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".