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Record W2022334963 · doi:10.1111/1467-9663.00160

Spatial development initiatives in Southern Africa: The Maputo Development Corridor

2001· article· en· W2022334963 on OpenAlexfundno aff
Christian M. Rogerson

Bibliographic record

VenueTijdschrift voor Economische en Sociale Geografie · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Economic Development and Planning
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsGeographySpatial planningRegionalism (politics)Regional scienceEconomic growthPolitical scienceEconomic geographyEnvironmental planningPoliticsEconomics

Abstract

fetched live from OpenAlex

Spatial development initiatives (SDIs) are becoming a critical feature in the planning for reconstruction in post‐apartheid South (and Southern) Africa. The SDI programme marks a fundamental break with the trajectories and initiatives for economic and spatial planning of the apartheid past. The objective in this paper is to examine the record and developmental impact of SDI planning in South (ern) Africa through the lens of the most well‐known SDI, the Maputo Development Corridor or Maputo SDI. The cross‐border nature of the Maputo SDI makes it an important case study in terms of a recent shift in focus of the SDI programme towards a greater role for strengthening the regional Southern African economy. It is argued that the case of the Maputo SDI represents one illustration of the construction or configuring of a ‘new regionalism’ in Southern Africa.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0030.004
Scholarly communication0.0020.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.028
GPT teacher head0.257
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations68
Published2001
Admission routes1
Has abstractyes

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