Meeting Housing-Space Demand through in Situ Housing Adjustments in the Greater Accra Metropolitan Area, Ghana
Why this work is in the frame
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Bibliographic record
Abstract
In this primary research-based paper I highlight an officially neglected housing supply strategy in Ghana. I discuss the ubiquitous in situ housing strategies employed by households of varying socioeconomic means for meeting housing-space demand and the factors that condition these strategies in the Madina-Adenta area of the rapidly expanding Greater Accra Metropolitan Area. Income and available housing space, household and room occupancy rates, changes in household size, length of residence, tenure, and housing stress were factors in the adoption of housing-space strategies. While 44% of respondents expressed great need for additional housing space, lack of financial resources and the problem of affordability were primary constraints on their ability to employ an incremental housing-space strategy. Access to a good supply of affordable housing credit is thus viewed as a critical housing policy mechanism for enabling in situ housing construction.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it