Assessing Botswana’s textiles export trade potential using the gravity model
Bibliographic record
Abstract
Through the application of the gravity trade model technique, the study investigates countries for \nwhich Botswana has unrealized export trade potential in textile products. The estimated results \nindicate that Canada, Denmark, Finland, Ghana, Mozambique and Switzerland are the export \ndestinations to which Botswana should increase its export of textile products as these countries have \nuntapped market potential for such products. The research also found that existence of unrealized destinations to which Botswana should increase its export textile products as these countries have \nuntapped market potential for such products. The research also found that existence of unrealized \nexport potential in this sector was as a result of a number of issues including import barriers put by \nthe importing country’s major trading partners as well as other problems from Botswana’s side. \nThese barriers and hindrances to Botswana’s sectoral exports include stringent rules of barriers put by \nthe importing country’s major trading partners as well as other problems from Botswana’s side. \nThese barriers and hindrances to Botswana’s sectoral exports include stringent rules of origin (RoO),low product quality inadequate international marketing and unrecorded informal trade.
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 | 0.000 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".