Bibliographic record
Abstract
Contents: Introduction, Peter Hall, Robert J. McCalla, Claude Comtois and Brian Slack Part I Global Economic Change: Implications for Ports, Corridors and Value Chains: Economic cycles in maritime shipping and ports: the path to the crisis of 2008, Gustaaf De Monie, Jean-Paul Rodrigue and Theo Notteboom Organizational and geographical ramifications of the 2008a 2009 financial crisis on the maritime shipping and port industries, Theo Notteboom, Jean-Paul Rodrigue and Gustaaf De Monie Carriers' role in opening gateways: experiences from major port regions, Antoine FrA(c)mont and Francesco Parola Transport and logistics hubs: separating fact from fiction, Elisabeth Gouvernal, ValA(c)rie Lavaud-Letilleul and Brian Slack Port, corridor, gateway and chain: exploring the geography of advanced maritime producer services, Peter. Hall, Wouter Jacobs and Hans Koster. Part II Measuring and Improving Gateway and Corridor Performance: Measuring port performance: lessons from the waterfront, Claude Comtois and Brian Slack Key interactions and value drivers towards port users' satisfaction, Athanasios A. Pallis and Thomas K. Vitsounis Improving port performance: from serving ships to adding value in supply chains, Anthony Beresford, Su-Han Woo and Stephen Pettit Coordination in multi-actor logistics operations: challenges at the port interface, Trevor D. Heaver. Part III International Case Studies: Benchmarking the integration of corridors in international value networks: the study of African cases, Jean-FranA ois Pelletier and Yann Alix Building value into transport chains: the challenges of multi-goal policies, Emmanuel Guy and FrA(c)dA(c)ric Lapointe Perspectives on integrated container transport: the Canadian example, Robert J. McCalla Trade corridors and gateways: an evolving national transportation plan, Michael C. Ircha Hinterlands, port regionalisation and extended gateways: the case of Belgium and Northern France, Jacques J. Charlier Entrepreneurial region and gateway-making in China: a case study of Guangxi, James J. Wang Bibliography 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.055 | 0.004 |
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".