Engagement, Empowerment, and Empathy: Cosmetics in the Work of Suzy Lake and Janine Antoni
Bibliographic record
Abstract
This thesis explores the use of cosmetics in Suzy Lake's A Genuine Simulation of… (1973-1974) and Janine Antoni's Butterfly Kisses (1996-1999).Issues of beauty and decorum were considered to be the foundation of women's oppression during the rise of second-wave feminism in North America during the late 1960s.Feminists sought to critique the beauty industry and liberate themselves from the masks of makeup that had become a part of their everyday lives.As waves of feminists developed new perspectives and values, the way in which issues of beauty and decorum were understood shifted.Suzy Lake and Janine Antoni are two prominent contemporary artists who have explored issues of gender, identity, beauty, and adornment in Western feminist art.Despite differences between Lake's A Genuine Simulation of… and Antoni's Butterfly Kisses, the process of cosmetic adornment during the making of A Genuine Simulation of… and Butterfly Kisses connects these pieces.This thesis investigates the works' process-driven qualities, and seeks to make sense of how each artist engaged in beauty rituals.It argues that reflection on the artists' acts can deepen our understanding of the issues presented in the works.When observing A Genuine Simulation of… and Butterfly Kisses, viewers can engage with the artists' processes; those who have experience (directly or indirectly) with beauty rituals and adornment have the opportunity to use their personal experiences as a means to understand the acts which Lake and Antoni participate in.In drawing on their own experiences to comprehend the artists' processes of creation, Lake and Antoni lead viewers towards reflection, empowerment, and empathy with respect to their own cosmetic adornment and the adornment of others.Dedication I would like to dedicate this thesis in memory of my late grandfather William MacFarlane.Like myself, my grandfather had a passion for education.He dedicated his life to teaching and believed in the power of learning.He taught me some of my greatest life lessons, lessons I have taken with me as I embarked on this project; have pride in your work, power through the hard times, remain poised, and be proficient."Pride, power, poise, proficiency is our clan motto and forever we uphold.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.021 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".