Bibliographic record
Abstract
A collection of essays that examines the relationship between globalisation and the postcolonial. The three subssections are as follows Section 1. Theorizing the Global and the Postcolonial - John Hawley, 'Theorizing the Diaspora' - Robert Spencer: 'The Price of Silence: Intellectual communication in the Age of Globalization' - Shaobo Xie,'Is the world decentred? A Postcolonial Perspective on Globalization' Section 2.Globalization and Literature - Cynthia Sugars, 'World Famous Across Canada: National Identity in the Global Village' - Chitra Sankaran, 'Ethics, Aesthetics and the Globalized other in Arundhati Roy's The God of Small Things' - A. Clare Brandabur, 'The elephant in the Living-Room: A Postcolonial Reading of Waiting for Godot' - Isabel Hoving, 'On Invasions, Weeds and Wilderness: The Dutch Imagination of Globalization (thrice) - C.L. Innes, 'Cosmopolitan Readers and Postcolonial Identities' - Mustapha Marrouchi, 'The Fantasy of Home' Section 3. Globalization, Politics and Culture - Vijaysree Chaganti and Kanukolanuk Ravichandra, Macauley to Microsoft: Globalization and the Indian Academy' - Jennifer Lawn, 'Creativity Inc., Globalizing the Cultural Imaginary in New Zealand' - Chris Prentice, 'Riding the Whale? Postcolonialism and Globalization in Whale Rider' - Martin Spaul and Amina Minhas, 'Representing Interconnection and Cultural Flow: Towards Reframing Tourist Experience with New Media' - Peter D. Osborne, 'anredoM acitpO or Aztec Cameras: Cultural Hybridity and Latin American Photography
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.012 | 0.032 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".