Woman, Life, Freedom: The Adlerian Conceptualization of the Woman-Led Revolution Against Tyranny in Iran
Bibliographic record
Abstract
ABSTRACT: Adler was among the first feminists who opposed Freud’s views on the inferiority of women. He argued that it was society, not nature, which had hindered women’s affinity for Social Interest and that this oppression could be overcome through movements for social justice. He believed that women held the capacity and resilience to fight for themselves against gender-based tyranny. One such fundamental tyranny is against women’s bodily autonomy through the enforcement of strict dress codes, especially in autocratic countries such as Iran. The tyranny of the compulsory hijab in Iran is used to describe the mandatory dress code imposed on women, which involves covering their hair and wearing loose-fitting garments that conceal their bodies. This dress code, referred to as hijab , has been enforced since the Islamic Revolution in 1979. In September 2022, the murder of the Iranian woman Mahsa Amini for her supposed improper observance of hijab ignited the worldwide Woman, Life, Freedom movement. This movement calls for the preservation of women’s rights and a shift to secular democracy in Iran. Adlerian art therapy workshops inspired by this movement were held in Vancouver, Canada, to promote resilience and social justice in the Iranian diaspora. These workshops successfully echoed the Woman, Life, Freedom movement and encouraged ally-ship and advocacy for women.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.061 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".