Increasing Attitudes of Biological Determinism in Youth
Bibliographic record
Abstract
This paper investigates changes in attitudes towards gender and sexual fluidity and binaries, gender roles, and reproductive restrictions among different age cohorts. There is a historical trend towards increasingly progressive attitudes amongst different age cohorts, whereby the youngest generation is typically the most progressive. Currently, there is a regression in progressive attitudes among youth with increased support for biological determinism. Supported by research from academic sources, this paper discusses how individual attitudes are formed and change between generations. Focusing on increasing attitudes supporting biological determinism, this paper investigates the consequences dominant social attitudes have on self-identity formation. Through linking biological determinism to reproductive rights, this paper discusses the importance of bodily autonomy for identity formation. The feminist interpretations of data presented in this paper hope to invoke consideration about the possible consequences of an increasing trend toward regressive attitudes. Overall, this paper alludes to where internalized misogyny comes from and how it can hinder self-identity development. Despite youth being in an unprecedented time of access to information and knowledge, they have not reported the expected results of increasingly progressive attitudes towards gender and sex. This paper calls the reader to re-examine the direction of our social discourse, attitudes towards gender and sex, and the expectation for increasingly progressive attitudes.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".