Positioning Landscape Architecture in a Global Context: Review on Critical Landscape Planning During the Belt and Road Initiative
Bibliographic record
Abstract
Ashley Scott Kelly and Xiaoxuan Lu’s recent publication Critical Landscape Planning During the Belt and Road Initiative emerges from their Landscape Architecture course on ecological planning at the University of Hong Kong lasted for several years. The book studies the landscape transformation along the China-Laos Railway, one of the earliest Belt and Road Initiative infrastructure projects. Targeted towards the audience of planners and allied professionals working in regional and transnational projects, the authors provide a comprehensive discussion on histories, planning pedagogies, and conceptual frameworks of global developments. Demonstrated through a series of studio proposals, the book can be seen as a provocative and ambitious experiment, in which Kelly and Lu challenge conventional epistemologies and protocols in landscape architecture research and professional practices. The review focuses on the authors’ conceptual and methodological frameworks to explore “critical landscape planning” as both pedagogical and practical practices. Additionally, this review invites critical reflections on the positionality of the landscape architecture discipline.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".