Bibliographic record
Abstract
By the age of fourteen, young girls are dropping out of sports at two times the rate of boys. Society has worked towards changing this statistic by including women in the male dominated institution of organized sports, yet females are still faced with traditional stereotypes, ultimately limiting their physical expression. Women are expected not to demonstrate characteristics deemed as masculine, which often dissuades females from lifting weights, sweating, participating, and competing in sports as a whole. Although these standards have changed over the twentieth century, when the principle of femininity is brought up, women are expected to live up to their specific gender roles and face a significant wage gap. In 2015, the champions of the Women’s World Cup received $2 million while the men’s team pocketed $35 million for winning the previous year, a $33 million difference. Not to mention that the women’s team had more viewership on Fox for the same event. On top of this, society places a pressure upon its citizens to conform with the majority. The stigma in society that women participating in sport promotes homosexuality often associates female athletes as masculine, lesbian, or butch. These ignorant societal beliefs foster an unhealthy lifestyle for young girls throughout North America. While a different factor comes into play for each athlete, more often than not a tipping point is reached. Once the motivation behind these young girls dropping out of sports is universally understood, headway can be made towards ensuring women flourish in North American society.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".