Bibliographic record
Abstract
Rupi Kaur is a Canadian young poet that employed natural elements in her poems to reflect the genuine human experiences. She has recently made great fame on social media and her poetry collections have made a great impact on Canadian literature. Her poetry can be analyzed through the ecocritical lens. Kaur’s poetry is not abstruse, or metaphysically oriented rather it is easy, and simple and reflects the plight of women and her journey from stumbling, falling, breaking, rising, and finally blooming. This journey sounds more like a non-human experience that is natural for instance the cycle of life of flowers. Through mobilizing several vivid images she channels the metaphors to human life in the form of natural images regarding feeling, shaping, flourishing, and prospering. The ecocritical approach is applied in this paper to pinpoint this common tendency among humans and their counterparts from non-human entities. Moreover, it casts the light on Kaur’s descriptive force and skillfulness in forming settings fit to her perpetual slippage from certain natural asset to the other. The paper also musters certain images, metaphors and other poetic devices to show the ecocritical awareness among people with reference to this modern approach that studies the interconnectedness between nature and culture. Applying of the ecocritical approach to Rupi Kaur’s poetry may afford a feasible solution to the physical/transcendental dualism, whereas we observe the formulation of hybrid identity that results from the merging of nature and human attitudes. This study traces the five sections of the Volume “The Sun and Her Flowers” and attributes them to the development of Rupi Kaur the woman.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.016 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".