From Pastoral Vistas to Urban Realities: Exploring the Transformative Journey through the Primordial Village of Aathi in Sara Joseph’s Gift in Green and Pallikaranai
Bibliographic record
Abstract
Space in its purest form is a pristine canvas, a blank slate awaiting the brushstrokes of life. Space is a profound repository, a vessel into which the essence of actions, movements, emotions, and sensations can be infused. It invites the human experience to inscribe its tales, thereby creating a complex tapestry of moments, memories, and significance. Space's vastness invites exploration and self-expression; it is a stage awaiting the magnificent performance of existence. Nevertheless, space is not a single entity. It is similar to a chameleon in that its meaning varies depending on the observer. What a particular location signifies to one person may be vastly different from what it means to another. This paper intends to characterize the transformational journey of cityscapes, tracing their emergence from rural or pastoral settings and elucidating their profound impact on the physical and mental health of their denizens. This article seeks to utilize Henri Lefebvre's seminal concept of representational space, or lived space, as a potent analytical tool for a comprehensive investigation of Sarah Joseph's literary work Aathi translated into English by Valson Thampu as Gift in Green. Furthermore, this study engages in a comparative analysis, drawing parallels between Sara Joseph's evocative depiction of the asphyxiated fictional realm of Aathi and the tangible urban reality of Pallikaranai in Chennai, thus casting light on the intricate interplay between fiction and reality.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.026 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".