Supporting Sustainable Development Goal 5 Gender Equality and Entrepreneurship in the Tanzanite Mine-to-Market
Bibliographic record
Abstract
This article analyses how a strategy for Tanzania’s tanzanite gemstone mining sector could foster gender equality in the mine-to-market (M2M) supply chain, whilst enhancing opportunities for female entrepreneurship as part of the country’s sustainable economic development. In the mining industry, the contemporary concept of mapping artisanal and small-scale mining to the UN Sustainable Development Goals is a newer aspect of sustainability. SDG 5 aims to achieve gender equality and empower all women and girls. However, while there have been initiatives to support gemstone mining in Tanzania and East Africa, to date, the role of women in the lucrative tanzanite M2M supply chain has been less visible and a missed opportunity. This is a concern, as in 2019, pre-COVID-19 pandemic, gemstone and precious metals accounted for an incredible 33.2% of Tanzania’s total exports. In contrast, in leading mining countries such as Australia and Canada, the participation of women continues to steadily advance, economically empowering the women involved. This article contributes a critical review of Tanzanian mining regulation and licensing practice in a historical and gender equality context. A qualitative research case study showcases artisanal small-scale (ASM) tanzanite gemstone miner and entrepreneur Pili Hussein, with a view to support the formulation of a Tanzanian regional, female-oriented, M2M tanzanite strategy. The developed world experience of increasing levels of gender participation in mining provides evidence of a reduced gender pay gap and enhanced mine safety practice when women are involved. This research finds that increased investment in supporting women to participate in the tanzanite M2M gemstone supply chain positively impacts SDG 5 in the country. Furthermore, given Tanzania’s economic dependence on mining and the exceptional characteristics of rare, single-source tanzanite (a generational gemstones), we conclude that gender equality and female mine-to-market (M2M) entrepreneurship has an undervalued, yet important, role to play in Tanzania’s future socio-economic development.
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 | 0.004 | 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 | 0.001 |
| 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".