O papel da mulher no microcrédito na Guiné-Bissau : estudo de caso de Pitche e Pirada
Bibliographic record
Abstract
This dissertation aims to address of the Role of Women with regards to Microcredit in Guinea-Bissau.Questioning whether it is advantageous to be the central figure within this process?More than half of the Guinean population consists of women, who play a key role in the family tradition.Women are responsible for the management of both family and home, educating their children and often executing economic activities such as agriculture or fishing.They are both educational and economical agents.However, women represent a very fragile, vulnerable part of the population.Political policies are needed to assist women to take their rightful place with society, both economically and socially.Thus the main objective of dissertation is to show how the role of women is one of the key measures to be implemented for this change, by allocating microcredits to communities with less access to various resources in Guinea-Bissau.Demonstrating the functions and roles of women in micro processes, we can understand the advantage of providing women with much needed capital to enhance both themselves and their respective communities.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".