Gender Representations in Social Media and Formations of Masculinity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Social media has become a primary socializer as it has the ability to shape the identity and perspectives of its users. Gender socialization is the process in which people learn and internalize norms and behaviours associated with their respective gender. Through their own social media platforms, influencers post representations of self that they feel represent themselves in the world. Since these influencers are popular, many adolescents are able to see and process these photos/videos as a part of their own process of identity formation. This study asks the question, how do male influencers demonstrate masculinity through their posts and comments? The literature reviewed for this study offers insight on the formation and representation of masculinity. Key concepts include hegemonic masculinity and defensive heterosexuality which aid in understanding masculinity as it is manifested in our society. The study sample includes ten male instagram influencers. Five photos were taken from their account that demonstrated representation of self and were each judged based on a set of criteria consisting of six factors. The results of this study show that these influencers are in fact demonstrating specific modes of masculinity through their photos which is consistent with how masculinity is portrayed in society today. However, these photos also demonstrate that some male influencers are shifting away from patriarchal forms of masculinity and are showing more interest in grooming and fashion, therefore highlighting a metrosexual mode of masculinity.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it