Bibliographic record
Abstract
Abstract: Telecentres today are the key to telecentres of tomorrow. If they succeed in achieving their objectives, there is no doubt that development partners, social investors and governments will have a fresh look at the potential of telecentres to development. In June 2005 the government of Ghana launched the first of its two hundred thirty telecentres to be established across the country. In Rwanda, US $ 1 million has been set aside for a countrywide telecentres program. All these are some of the bold initiatives that will be boosted by exquisite telecentre planning today. Financial and social sustainability of telecentres remains one of the key challenges of the digital inclusion programming more than a decade after. The author uses field-based experiences from India and Africa to review varied telecentre sustainability approaches. While analysing the strengths and weaknesses of each of the approaches he makes an argument for a new approach one that will ensure high social capital, sustainability and financial sustainability for telecentres.
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 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 | 0.019 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.008 | 0.021 |
| Scholarly communication | 0.022 | 0.023 |
| Open science | 0.004 | 0.019 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 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".