Bibliographic record
Abstract
The previous chapters analysed how Latin American and Canadian women novelists and filmmakers intertwine environmental discourses within their artistic practices: Chapter 1 focused on resistance to bad development, while Chapter 2 related ethics of care to care work. Chapter 3 shifted attention to narratives that envision alternatives to the dominant socio-economic models of unsustainable development. This analysis moves away from apocalyptic or dystopian scenarios, advocating for significant socio-environmental change through insurgency within the narratives. The texts examined in this chapter include Gabriela Cabezón Cámara’s Argentinian novel Las aventuras de la China Iron (2017), Margaret Atwood’s Canadian novel The Year of the Flood (2009), and Mónica Álvarez Franco’s Mexican documentary El bosque de niebla ( 2017 ). A central theme across these works is the concept of common goods. This notion is intricately linked to ideas such as Buen Vivir (good living), environmental justice, and post-extractivism, emphasizing a holistic approach to sustainability and communal well-being.
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 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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".