Bibliographic record
Abstract
List of Tables Preface Notes on the Contributors Introduction S.McBride & J.Wiseman PART I: THEORETICAL PERSPECTIVES What is Globalization G.Teeple The Politics of Globalization and Labour Strategies S.McBride PART II: POLITICAL AGENCY AND THE INSTRUMENTS OF GLOBALIZATION Globalization as Discipline: The Case of Australia and International Finance D.Bryan & M.Rafferty Creating the Institutions of the Global Economy? Central Bank Independence in Japan and Italy B.MacLean, A.Croci & P.Bowles The Right Thing: Globalization and the Policy Process: A Case Study R.Watts International Financial Institutions, International Capital Flows and Financial Liberalization in Developing Countries J.Busumtwi-Sam Benchmarking, Global Best Practice and Production Renorming in the Australian Coal Industry: The Impact of Globalization B.Bowden & B.Russell PART III: CONTRADICTIONS AND AMBIGUITIES Global Markets and State Power: Explaining the Limited Impact of International Tax Competition M.Webb The Making of the Citizen Self and Citizen Other: Canada's Non-Immigrant Employment Authorization Program N.Sharma Globalization and Cross-Border People Movements: The Case of Recent Revisions in U.S. Immigration Legislation T.Cohn The ICFTU Labour Clause Proposal: A Legal and Political Critique M.Swenarchuk A 'Double Movement': Implications of Globalization and Pluralization for the Canadian Welfare State J.Rice & M.Prince PART IV: CRISIS, LEVELS OF ACTION AND ALTERNATIVES Economic Turmoil in Asia: A Crisis of Globalization J.Price Rethinking Global Strategies M.G.Cohen Alternatives to Oppressive Globalization J.Wiseman Index
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.006 | 0.021 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.038 | 0.006 |
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".