Bibliographic record
Abstract
Although the topic of menstrual poverty is gaining more attention in the Czech Republic, there is a significant lack of scientific research addressing the extent, forms, or impacts of menstrual poverty in the country. This thesis aims to fill this gap and provide data on the state of menstrual poverty. The objective of this work is to explore menstrual poverty and its manifestations among public university students, examine its relation with mental and physical health, and investigate attitudes towards and proposed measures against menstrual poverty. Data were collected through an online survey conducted in spring 2024, involving a total of 1102 participants. The results indicate that for 39,2 % of respondents, purchasing menstrual supplies is a financial burden. Nearly a quarter cannot change their menstrual products at school whenever they need to, and more than a quarter wear menstrual products longer than recommended to save money. More than half experience menstrual stigma, with 81,9 % fearing leaks during menstruation. Financial security, affordability of menstrual products, and menstrual stigma significantly predict depressive symptoms among students. Regarding attitudes, nearly all agree with reducing VAT on menstrual products (95,9 %) and providing free menstrual supplies in public...
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".