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Record W2066146168 · doi:10.3828/idpr.28.3.3

Housing and development strategies in Ghana, 1945–2000

2006· article· en· W2066146168 on OpenAlexaff
Godwin Arku

Bibliographic record

VenueInternational Development Planning Review · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsEconomic growthProcess (computing)Low income housingPolitical scienceEconomicsEconomic systemDevelopment economics

Abstract

fetched live from OpenAlex

Housing has occupied an ambiguous place in debates about international development, and about how development should be promoted. The dominant view in the 1940s and 50s was that housing absorbs resources from other productive investments. Not surprisingly development experts accorded a low priority to the sector. Since the early 1960s, there has been a progressive shift in the way that development economists, in particular, have thought about the role of housing in development. Against the background of a continuous shift in opinion, the dearth of in-depth studies on this topic is surprising. With a focus on Ghana, this paper takes a modest step in tracing the changing views about the economic significance of housing in the development process. The analysis indicates that, in principle, views of Ghanaian policy makers about economic aspects of housing have progressed from a narrow and obscure understanding to a broader view. However, in planning and in policy practice, they still have a lot to do.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.056
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.049
GPT teacher head0.327
Teacher spread0.277 · 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 designNot applicable
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

Citations46
Published2006
Admission routes1
Has abstractyes

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