<i>A Fine Balance</i>in truth and fiction: exploring globalization’s impacts on community and implications for adult learning in Rohinton Mistry’s novel and related literature
Bibliographic record
Abstract
Globalization continues to interest researchers and practitioners as it unfolds around us. This article contributes to the analysis of globalization’s discourse, objectives and outcomes, by exploring the impact of globalization on community and its implications for adult learning. Using selected themes from a work of fiction to frame this exploration, the article asserts that the study of fiction can bolster critical thinking and learning. Excerpts from Rohinton Mistry’s novel, A Fine Balance, initiate an investigation of globalization’s rhetoric of promise and connectedness, and introduce a review of related research and other non‐fictional writings. The incorporation of fiction into this analysis attempts to demonstrate that a complex, often technical topic such as globalization can be articulated in a way that is accessible to a broad community of formal and informal adult learners. The article concludes that globalization disrupts community and social capital, despite the increasing recognition of their role in supporting lifelong learning.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.023 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| 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".