Bibliographic record
Abstract
Environmental damage is a critical problem, especially in regions such as Baluchistan in Iran, where clean water scarcity poses a critical problem for people's lives and health. I am an Iranian Canadian interdisciplinary textile artist born and raised in Tehran. A lesson I learned from studying microbiology and observing microorganisms through a microscope is that scientific realities exist beyond our apparent perception. However, their impact on humans and non-humans cannot be ignored. \n \nMy thesis idea is derived from my studio practices focusing on various fibres: \nHow can my textile art practice address environmental challenges related to water scarcity in the Sistan and Baluchistan regions of Iran through methods and fibre mediums used in my practice, while simultaneously raising awareness and advocating for the preservation of natural resources and cultural heritage? \n \nAs a result, my textile art installations reflect both physical manifestations and hidden causes of drought and water scarcity. Human interference and mismanagement of natural resources have been detrimental to the Iranian people, including myself.
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 | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.007 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.006 |
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; both teacher heads agree on what is shown here.
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".