The Geology, Mineral Resources of Sierra Leone and how the Resources can be Used to Develop the Nation
Bibliographic record
Abstract
Sierra Leone forms part of the West African Craton whose counterpart is the Guyana shield. Two main structural divisions are recognized; (a) the Liberian granite-greenstone terrain and (b) the pene-contemporaneous Kasila group mobile belt. Radiometric ages from both divisions show a spread from 2100 Ma to over 3400Ma. The rocks in the country are predominantly Archaeanconsisting of a granitic basement containing elements of sedimentary, mafic formations and a group of supracrustal greenstone belts with banded ironstones and detrital sediments. In common with most Archaean terrains, the country has considerable mineral deposits and reviews of these deposits have been based on similarities between the Archaean of Sierra Leone and that of the Superior province in Canada or the Rhodesian craton in South Africa. In this study, the country's primary mineral resources which are diamonds, rutile, gold, bauxite, and iron oreare discussed. The production or mining of these resources contributed about 20% of GDP and up to 15% of fiscal revenues until the closure of some mines before the civil war and the others during the war. It is believed that if the economy of this post conflict nation is to grow stronger the mining industry will have to serve as an engine to its economic growth.Four recommendations have been proposed on how current and prospective Sierra Leonean governments will achieve their developmental objectives using revenue generated from the mining of these mineral resources.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".