Bibliographic record
Abstract
Low income earners in cities of the developing world are often in hot pursuit for suistainable livelihoods. The paths they use in their quest are as intriguing as they are startling. This book describes how internally displaced people from Northern Uganda managed to acquire 'space' in 'Acholi Quarter'; on the fringes of Kampala city and eked a living from their environment. It provides an insight into the minds of a people gripped with the 'opportunities' that the city avails, yet seemingly deprived of the ability to seize them fully. The book analyses the ways that immigrants use to succeed in utilizing opportunities in Kampala. Among these are the skills that they bring with them as they migrate, social capital,financial capital, artifacts, to reinforce their ability to become a political constituency that burgains for security of tenure and their capacity to benefit from the physical environment. It is a must read for all development practitioners, urban managers and planners, economic entrepreneurs and donors to realize that developing skills that immigrants and refugees have is the beginning of ensuring sustainable livelihoods and social stability in their new 'home'
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.067 | 0.016 |
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".