Bibliographic record
Abstract
The Edendale N Wirewall case is instructive for land tenure administration, project management and group tenure schemes in post-conflict land tenure administration and housing project management. The Greater Edendale Area experienced major localised conflict in the lead up to the end of apartheid. The Edendale N Wirewall project is a problematic state subsidised housing project. Innovations in development techniques and land tenure models are necessary in times of far reaching change. However, innovations should be justified by robust empirical evidence if failure might have a significant impact on the intended beneficiaries. Corruption, maladministration, patronage and inefficiencies can be expected in post-conflict land administration and project governance as new politicians come into power, the state is fragile and personnel changes and power shifts occur in the civil service. Fixing major problems in housing projects arising out of poor project management and poor project governance can result in costly remedial action and tenure insecurity in the decades following project completion. If the situation allows it, external expert checks on land administration operations management and far more frequent and independent project audits, on-site inspections and audit surveys may mitigate some of these challenges.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".