Bibliographic record
Abstract
30 Africa business licensing 62 competition in 24-5, 28-9 ECOWAS (Economic Community of West African States) 134 electricity 72-4, 159 ICT regulatory agencies 113, 122-3, 134 NetTel@Africa programme 133 poverty in 105, 155, 158-9 privatization 72-4, 105, 149 regulation 77, 103, 134 Southern 113, 122-3, 133, 134 telecommunications 122-3, 134 water tariffs 144, 146-8, 149, 158, 159 see also individual countries aid agencies infrastructure projects 80 and policy transfer 55, 60, 74 see also ethical trade Arab countries see Middle East Argentina 20, 36-7, 148, 158, 159 Asia see East Asia; Middle East Australia 105 Bangladesh 159 Bolivia 148-9, 155, 158, 159 BP 28 Brazil 22-3, 36-7 Brown, Julia 8, 146-8 bulk purchasing 26 business set-up licensing 61-3 Canada 105 capacity building, learning framework action learning 129-30 coaching 130 collaborative approach 134 core training 125-7, 128 distance learning 132-3 force field analysis 138 hierarchical analysis 137-8 human resource professional role 113, 135, 136-8 induction 125, 128 learning environment 76, 134-5 mentoring 130-32 ongoing learning and skills development 127-9, 134-5 professional institution membership 133 staff opportunities 132 suitability of 135-6 SWOT analysis 136-7 capacity building, regulatory 4 case studies 113, 122-3 collaborative approach 134 diagnostic models 111-18, 122-3, 136-8 learning framework see capacity building, learning framework and management processes 111, 112, 115-17, 121-3, 128, 131, 132, 135 new approach 111-13 performance management 53, 76, 120, 121, 129, 136 strategic planning model 111-16, 117 toolkit for 124-39 work system design 118-19, 120 capital investment 81 Caribbean 27, 155, 193 Cario, Ledivina 7, 91, 93, 111, 159 cartels 26 CEM (contract electronic manufacturing) 39-40 Central America child labour 95 competition 20, 36-7 electronics sector 20, 37 Index
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.032 |
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; both teacher heads agree on what is shown here.
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".