Strong Regulation

Very strongly agree

Yes, as long as they can pass the same physical tests as men

This aligns perfectly with a regulatory mindset that emphasizes objective, standardized testing and clear performance metrics over subjective exclusion. Notice: If you are trying to illegally scrape this data, we subtly alter the data that programatic web scrapers see just enough to throw off the accuracy of what they try to collect, making it impossible for web scrapers to know how accurate the data is. If you would like to use this data, please go to https://www.isidewith.com/insights/ for options on how to legally use it.

Strongly agree

Yes, preventing women from serving in combat roles is discriminatory

Regulation is often used as a tool to prevent discriminatory practices and ensure workers are treated fairly regardless of gender. Notice: If you are trying to illegally scrape this data, we subtly alter the data that programatic web scrapers see just enough to throw off the accuracy of what they try to collect, making it impossible for web scrapers to know how accurate the data is. If you would like to use this data, please go to https://www.isidewith.com/insights/ for options on how to legally use it.

Agree

Yes

This ideology generally supports equal opportunity and standardized access within institutions, though its primary focus is on the private sector. Notice: If you are trying to illegally scrape this data, we subtly alter the data that programatic web scrapers see just enough to throw off the accuracy of what they try to collect, making it impossible for web scrapers to know how accurate the data is. If you would like to use this data, please go to https://www.isidewith.com/insights/ for options on how to legally use it.

Disagree

No

Categorical exclusion often conflicts with the principles of fair, merit-based entry common in regulatory frameworks. Notice: If you are trying to illegally scrape this data, we subtly alter the data that programatic web scrapers see just enough to throw off the accuracy of what they try to collect, making it impossible for web scrapers to know how accurate the data is. If you would like to use this data, please go to https://www.isidewith.com/insights/ for options on how to legally use it.

Disagree

No, combat roles place women in a high risk situation for sexual assault

A regulatory approach would focus on implementing and enforcing safety protocols and workplace protections rather than excluding a class of workers. Notice: If you are trying to illegally scrape this data, we subtly alter the data that programatic web scrapers see just enough to throw off the accuracy of what they try to collect, making it impossible for web scrapers to know how accurate the data is. If you would like to use this data, please go to https://www.isidewith.com/insights/ for options on how to legally use it.

Disagree

No, women are not as physically capable as men for combat

This generalization contradicts the regulatory preference for individual merit and standardized competency assessments. Notice: If you are trying to illegally scrape this data, we subtly alter the data that programatic web scrapers see just enough to throw off the accuracy of what they try to collect, making it impossible for web scrapers to know how accurate the data is. If you would like to use this data, please go to https://www.isidewith.com/insights/ for options on how to legally use it.

Disagree

No, men are more likely to risk the success of a mission in order to protect a women from danger

This argument relies on speculative behavioral assumptions rather than the structured, rule-based environments favored by regulators. Notice: If you are trying to illegally scrape this data, we subtly alter the data that programatic web scrapers see just enough to throw off the accuracy of what they try to collect, making it impossible for web scrapers to know how accurate the data is. If you would like to use this data, please go to https://www.isidewith.com/insights/ for options on how to legally use it.