# Tabiya Documentation

## Tabiya Documentation

- [Welcome](https://docs.tabiya.org/readme.md): Welcome to Tabiya docs! This collection of documents provides an overview of our overall approach and our work.
- [About Tabiya](https://docs.tabiya.org/overview/about-tabiya.md): In the next decade, about 1 billion young people will enter the labor force. We want to empower them with better data.
- [The Global Youth Employment Challenge](https://docs.tabiya.org/overview/labor-markets-in-sub-saharan-africa.md): Youth employment in low- and middle-income countries is in crisis, with rapid population growth outpacing job creation, leaving millions unemployed or trapped in informal, low-quality work.
- [The Role of Labor Market Intermediation](https://docs.tabiya.org/overview/labor-markets-in-sub-saharan-africa/the-role-of-labor-market-intermediation.md)
- [Digital Platforms and AI in LMIC Labor Market Intermediation](https://docs.tabiya.org/overview/labor-markets-in-sub-saharan-africa/digital-platforms-and-ai-in-lmic-labor-market-intermediation.md)
- [Regional Spotlight: the Sub-Saharan African Labor Market](https://docs.tabiya.org/overview/labor-markets-in-sub-saharan-africa/regional-spotlight-the-sub-saharan-african-labor-market.md)
- [Open-Source Tech for Labor Markets](https://docs.tabiya.org/open-source-tech-for-labor-markets.md)
- [Inclusive Livelihoods Taxonomy](https://docs.tabiya.org/our-tech-stack/inclusive-livelihoods-taxonomy.md): We aim to make visible and usable the human capital of everyone in an economy. This page outlines our foundational approach to building a taxonomy that covers the full spectrum of economic activities.
- [Methodology](https://docs.tabiya.org/our-tech-stack/inclusive-livelihoods-taxonomy/methodology.md): Creating an inclusive livelihoods taxonomy involves assigning human capital and skills to activities that are usually unseen, which comes with challenges.
- [Why ESCO?](https://docs.tabiya.org/our-tech-stack/inclusive-livelihoods-taxonomy/why-esco.md): The European Skills, Competences, Qualifications, and Occupations (ESCO) taxonomy provides a comprehensive - albeit improvable - taxonomy of skills and occupations, on which our work builds.
- [Lessons Learned](https://docs.tabiya.org/our-tech-stack/inclusive-livelihoods-taxonomy/lessons-learned.md): Extending the ESCO taxonomy by including the unseen economy while adapting our methodology to the challenges met gave us valuable lessons.
- [Core Taxonomy](https://docs.tabiya.org/our-tech-stack/inclusive-livelihoods-taxonomy/core-version.md): Our Core Taxonomy introduces important changes to ESCO to better reflect the livelihoods and economic realities in low- and middle-income countries, but avoids country-specific adaptations.
- [Open Taxonomy Platform](https://docs.tabiya.org/our-tech-stack/inclusive-livelihoods-taxonomy/open-taxonomy-platform.md): Labor markets are diverse and fast changing, so a useful taxonomy must be localizable and adaptable in a transparent way. Our open taxonomy platform empowers partners to do this.
- [Open Taxonomy Platform API](https://docs.tabiya.org/our-tech-stack/inclusive-livelihoods-taxonomy/open-taxonomy-platform/open-taxonomy-platform-api.md): Labor markets are diverse and fast changing, so a useful taxonomy must be localizable and adaptable in a transparent way. Learn more about the API that powers our open taxonomy platform.
- [Taxonomy CSV Format](https://docs.tabiya.org/our-tech-stack/inclusive-livelihoods-taxonomy/csv-format.md): The Tabiya CSV format is used to import and export data from the Tabiya Open Taxonomy platform.
- [Livelihoods Classifier](https://docs.tabiya.org/our-tech-stack/livelihoods-classifier.md)
- [Getting Started](https://docs.tabiya.org/our-tech-stack/livelihoods-classifier/getting-started.md)
- [Web Application](https://docs.tabiya.org/our-tech-stack/livelihoods-classifier/web-application.md)
- [Datasets](https://docs.tabiya.org/our-tech-stack/livelihoods-classifier/datasets.md)
- [Training](https://docs.tabiya.org/our-tech-stack/livelihoods-classifier/training.md)
- [Advanced Topics](https://docs.tabiya.org/our-tech-stack/livelihoods-classifier/advanced-topics.md): In this page we aim to give further details about the classes and functions located to the GItHub repository.
- [Contributing Guide](https://docs.tabiya.org/our-tech-stack/livelihoods-classifier/contributing-guide.md)
- [FAQs](https://docs.tabiya.org/our-tech-stack/livelihoods-classifier/faqs.md)
- [Compass](https://docs.tabiya.org/our-tech-stack/compass.md): Unlock your potential, discover your skills
- [Technical Overview](https://docs.tabiya.org/our-tech-stack/compass/technical-overview.md)
- [Compass API](https://docs.tabiya.org/our-tech-stack/compass/technical-overview/compass-api.md): Compass is an innovative, AI-powered chatbot designed to revolutionize the way a young person identifies, articulates, and showcases their skills. Learn more about the API that powers Compass.
- [UX Evaluation](https://docs.tabiya.org/our-tech-stack/compass/ux-evaluation.md): In August 2024, Tabiya tested the user experience of Compass with job-seekers recruited from Harambee Youth Employment Accelerator.
- [UX Testing Discussion Guide](https://docs.tabiya.org/our-tech-stack/compass/ux-evaluation/ux-testing-discussion-guide.md)
- [Compass Customization Guide](https://docs.tabiya.org/our-tech-stack/compass/compass-customization-guide.md)
- [Roadmap](https://docs.tabiya.org/our-tech-stack/compass/roadmap.md)

## South Africa

- [South Africa: Tabiya X Harambee](https://docs.tabiya.org/inclusive-taxonomy-south-africa/south-africa-tabiya-x-harambee.md): In South Africa, Tabiya partners with Harambee, a not-for-profit social enterprise working on youth unemployment and an anchor-partner for SA Youth, the national employment pathway management network.
- [Context: the South African Labour Market](https://docs.tabiya.org/inclusive-taxonomy-south-africa/context-the-south-african-labour-market.md): Characterized by the world's highest unemployment rates and persistent effects of historical social segregation, the South African labor market presents a particularly challenging context.
- [Employment Journeys](https://docs.tabiya.org/inclusive-taxonomy-south-africa/context-the-south-african-labour-market/employment-journeys.md): The Employment Journey (EJ) dataset compiled by Harambee is a valuable source of information about job-seekers' previous experience.
- [Time-Use](https://docs.tabiya.org/inclusive-taxonomy-south-africa/context-the-south-african-labour-market/time-use.md): Understanding how young jobseekers spend their time highlights the main activities through which they might develop valuable human capital.
- [Seen Economy](https://docs.tabiya.org/inclusive-taxonomy-south-africa/seen-economy.md): "Seen" activities are those which are accounted for as productive (including informal work) in the System of National Accounts (SNA). \[to be edited later]
- [Alternative Titles](https://docs.tabiya.org/inclusive-taxonomy-south-africa/seen-economy/alternative-titles.md): Including all diverse experiences and skills held by young South African entails ensuring they identify with the titles of occupations provided on our platform.
- [Entrepreneurial Skills](https://docs.tabiya.org/inclusive-taxonomy-south-africa/seen-economy/entrepreneurial-skills.md): To validate our approach for the informal economy, we conducted a survey among a subset of South African micro-entrepreneurs registered to the Harambee website.
- [Unseen Economy](https://docs.tabiya.org/inclusive-taxonomy-south-africa/unseen-economy.md): Tabiya and Harambee's work on the unseen economy is an effort to recognize and utilize human capital built through unpaid work done by young jobseekers, particularly women.
- [ICATUS X ESCO Mapping](https://docs.tabiya.org/inclusive-taxonomy-south-africa/unseen-economy/icatus-x-esco-mapping.md): The ICATUS Taxonomy provides a complete picture of how people use their time. Based on the assumption that all activities build human capital, we attempt to connect ICATUS and ESCO.
- [Harambee Panel](https://docs.tabiya.org/inclusive-taxonomy-south-africa/unseen-economy/harambee-panel.md): As one of our main tools to build a localized and inclusive ESCO taxonomy for South Africa, Tabiya organized a panel discussion to channel Harambee's knowledge of South African young jobseekers.
- [Harambee's Platform Version 0.1](https://docs.tabiya.org/inclusive-taxonomy-south-africa/harambees-platform-version-0.1.md): Tabiya's work on the South African taxonomy will be directly channeled by Harambee through the SAyouth.mobi platform. Concomitantly, it is used as a basis for Compass, our AI chatbot.
- [Ordering of Skills: Review of Evidence](https://docs.tabiya.org/inclusive-taxonomy-south-africa/harambees-platform-version-0.1/ordering-of-skills-review-of-evidence.md): There is ample evidence that the way options are presented to users influence their picks. Understand users' biases is critical to improve the functioning of the Harambee platform.
- [Ordering of Skills: A/B testing](https://docs.tabiya.org/inclusive-taxonomy-south-africa/harambees-platform-version-0.1/ordering-of-skills-a-b-testing.md): As the ordering of skills is likely to greatly influence users' picks, testing different ordering of skill is essential to identify options improving users' experience.
- [Evaluating Compass's Performance](https://docs.tabiya.org/inclusive-taxonomy-south-africa/harambees-platform-version-0.1/evaluating-compasss-performance.md)
- [Takeaways Regarding ESCO](https://docs.tabiya.org/inclusive-taxonomy-south-africa/takeaways-regarding-esco.md): Beyond providing a localised technical answer to Harambee, Tabiya's work in South Africa also allowed us to evaluate the possibility to use the ESCO taxonomy in other national set ups.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on a page URL with the `ask` query parameter:
```
GET https://docs.tabiya.org/readme.md?ask=<question>
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
