Together we have it all: women entrepreneurs In Kyrgyzstan's community-based tourism sector
Bibliographic record
Abstract
A shyrdak is more than an ornate felt carpet, not only is it a reminder of a Central Asian nomadic past and an integral part of cultural heritage but it can also hold a place of pride in a Kyrgyz household. Knowledge, skills, diversity, the semantics of ornamentation, and the ceremonies involved in making a shyrdak are all important aspects of ethnic-Kyrgyz material culture. Shyrdaks can therefore provide Kyrgyz women with a symbol of identity and a connection to their nomadic ancestors. The labour intensive making of shyrdaks is an act of feminist solidarity, communal unity that can foster the transmission of traditional knowledge from one generation to another. Representing the symbolism embedded in the meticulous preparation of shyrdak, the eighteen narratives included in this book demonstrate how community based tourism (CBT) can bring women together in a circle of sisterhood with the aim of empowering them, preserving their cultural heritage and securing their economic well-being. From the spirited Rahima in the plains of Song-Kul lake with her zest for life, to the zen-like Luiza and the peaceful atmosphere that surrounded her in the forest of Arslanbob, and Zhanyl on the shores of Issyk-Kul with a twinkle in her eyes and a reassuring and determined posture, I am in awe of the strength and resourcefulness of the women entrepreneurs of Kyrgyzstan working in the CBT sector. I am humbled that you chose to share a part of your life with us. The stories that we narrate in this book recognise, value, voice and celebrate your presence and your contribution to your families and to the development of Kyrgyzstan's economy, tourism sector and society.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.008 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".