Overseas Investment Attraction for the Companies in Madagascar, Due To Low Wage to Employee and Abundant Natural Resources
Bibliographic record
Abstract
This paper presents the information about the natural resources in Madagascar, their location and about the regulatory framework. The Madagascar is a country which is rich in minerals resources. So in this paper proposal has been proposed to some investors to invest in Madagascar. As Madagascar is a developing country, international investors can gain more profits as to invest in the country due to low wage to employees. Regulatory framework about the investment in the Madagascar has been discussed. We can say nature has blessed abundant natural resources to Madagascar so that development in this sector can turn Madagascar’s economic instability to developed financial and economic stability. But due to lack of better policies or may be the present policies implementation problem, lack of funds, lack of human resource, lack of machinery, lack of expert in this sector is not getting the pace as desired. Being a developed or having a strong GDP rate some countries like China, Canada, Australia, USA and some other countries can do a lot for the development of this sector in Madagascar, so that the interested companies can come to Madagascar for the consideration of mineral re-sources, which can result into the economic development of both countries and as a repercussion Madagascar can cope up lots of problem which it is facing, e.g. economic in-stability, indebted of IMF and World Bank, unemployment, poverty, lack of technical education etc. On the other side foreign investors and companies can improve their setup on large scale, their development and man power. As a moral of story through the progress in mineral resources can make Madagascar advanced and established country. Keyword: Minerals, Madagascar, Tourism, Regulatory framework, Investment
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 0.002 |
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".