<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
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. Acknowledgements This article grew out of a paper produced for a directed reading course in my Masters programme. I thank Dr Thomas Sork for supervising my work during this course and for his generous support, feedback and editing assistance throughout the process of producing and refining this article. I also thank Dr Sunera Thobani for early discussions about the topic of this paper. Notes Kaela Jubas is a doctoral student in the Educational Studies Programme at The University of British Columbia, 2125 Main Mall, Vancouver, BC, V6T 1Z4, Canada; e‐mail: kaelaj@interchange.ubc.ca Additional informationNotes on contributorsKAELA JUBAS Footnote Kaela Jubas is a doctoral student in the Educational Studies Programme at The University of British Columbia, 2125 Main Mall, Vancouver, BC, V6T 1Z4, Canada; e‐mail: kaelaj@interchange.ubc.ca
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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 | 0.001 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".