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of course.
healthcare in the US is 100% capitalism. we get what we want.
This will undoubtedly end up being discussed in the teachers' staff room...My daughter's "woke" high school AP Economics teacher assigned her class an essay on society's passive acceptance of economic inequity. After a long conversation with me, she turned in this...she's thinking about pre-med.
Example of Passive Acceptance of Structural Economic Inequity
A clear example of passive acceptance of structural economic inequity occurs in hospital-employed physician compensation. Large hospital systems often impose artificial caps on physician pay and productivity, limiting earnings regardless of the revenue physicians generate. Although these caps suppress physician income and violate competitive market principles, most employed physicians accept them rather than challenge the system.
This acceptance is rooted in structural conditions rather than individual preference. Medical training socializes physicians to tolerate hierarchy, delay rewards, and accept unequal power relationships. By the time physicians enter employment, they are accustomed to being told what compensation is “reasonable” and are reluctant to challenge institutional authority. As a result, inequitable compensation structures are normalized rather than questioned.
Additionally, physicians often prioritize income stability and risk reduction over maximizing earnings. Hospitals offer guaranteed salaries, benefits, and administrative protection in exchange for capped productivity and limited autonomy. For many physicians, the certainty of employment outweighs the uncertain gains of resisting compensation limits, even when those limits reduce long-run earnings.
Unequal sharing of information further reinforces acceptance. Hospitals control access to revenue data, facility fees, contribution margins, and cross-subsidization across departments. Physicians typically see only simplified productivity metrics, such as work relative value units (RVUs), without complete insight into the profits their labor generates. This lack of transparency prevents physicians from accurately assessing whether compensation is equitable.
High exit costs also discourage resistance. Leaving employment may require rebuilding referral networks, losing benefits, navigating non-compete clauses, or assuming business risk. Because hospital administrators understand these barriers, they can maintain compensation caps knowing that many physicians are unwilling or unable to exit the system.
Finally, social and professional pressures discourage high productivity. Physicians who exceed expected output may be criticized for disrupting workflows or raising compliance concerns. Over time, the system rewards conformity rather than efficiency, reinforcing acceptance of compensation limits.
In conclusion, hospital-employed physicians passively accept structurally inequitable compensation because training, risk aversion, information asymmetry, high exit costs, and professional norms reduce resistance. Although the system suppresses physician earnings and weakens market competition, its design makes compliance appear safer and easier than opposition, allowing inequity to persist.
I am a huge proponent of reverting back to blue book, in person administration of all essay writing assignments. ChatGPT makes essay assignments utterly pointless otherwise.You mean you talked to your daughter about some topics to include and she punched it into chatGPT with possibly some light editing....
Apples and trees.My daughter's "woke" high school AP Economics teacher assigned her class an essay on society's passive acceptance of economic inequity. After a long conversation with me, she turned in this...she's thinking about pre-med.
Example of Passive Acceptance of Structural Economic Inequity
A clear example of passive acceptance of structural economic inequity occurs in hospital-employed physician compensation. Large hospital systems often impose artificial caps on physician pay and productivity, limiting earnings regardless of the revenue physicians generate. Although these caps suppress physician income and violate competitive market principles, most employed physicians accept them rather than challenge the system.
This acceptance is rooted in structural conditions rather than individual preference. Medical training socializes physicians to tolerate hierarchy, delay rewards, and accept unequal power relationships. By the time physicians enter employment, they are accustomed to being told what compensation is “reasonable” and are reluctant to challenge institutional authority. As a result, inequitable compensation structures are normalized rather than questioned.
Additionally, physicians often prioritize income stability and risk reduction over maximizing earnings. Hospitals offer guaranteed salaries, benefits, and administrative protection in exchange for capped productivity and limited autonomy. For many physicians, the certainty of employment outweighs the uncertain gains of resisting compensation limits, even when those limits reduce long-run earnings.
Unequal sharing of information further reinforces acceptance. Hospitals control access to revenue data, facility fees, contribution margins, and cross-subsidization across departments. Physicians typically see only simplified productivity metrics, such as work relative value units (RVUs), without complete insight into the profits their labor generates. This lack of transparency prevents physicians from accurately assessing whether compensation is equitable.
High exit costs also discourage resistance. Leaving employment may require rebuilding referral networks, losing benefits, navigating non-compete clauses, or assuming business risk. Because hospital administrators understand these barriers, they can maintain compensation caps knowing that many physicians are unwilling or unable to exit the system.
Finally, social and professional pressures discourage high productivity. Physicians who exceed expected output may be criticized for disrupting workflows or raising compliance concerns. Over time, the system rewards conformity rather than efficiency, reinforcing acceptance of compensation limits.
In conclusion, hospital-employed physicians passively accept structurally inequitable compensation because training, risk aversion, information asymmetry, high exit costs, and professional norms reduce resistance. Although the system suppresses physician earnings and weakens market competition, its design makes compliance appear safer and easier than opposition, allowing inequity to persist.
Agreed. This isn't poorly written but it completely fails to address the assigned question. If her teacher is super "woke" as stated, she might get away with a tangential answer. That said, I don't know how well a paper complaining about physician compensation will resonate with that sort of person.Apples and trees.
I am a huge proponent of reverting back to blue book, in person administration of all essay writing assignments. ChatGPT makes essay assignments utterly pointless otherwise.
It's got clear flags of ChatGPT generated to some extent. Sorry to burst your bubble drusso.
Chat GPT often has the "in conclusion" thing at the end and then to rehash the topics in a one liner...in fact when I punched a similar prompt into chatGPT it gave me an "in conclusion" paragraph that looked pretty similar right at the end.
It also loves this style of multiple small paragraphs of a few sentences each.
I could get almost exact similar sentences from Chat GPT with a prompt that included these specific subjects. For example:
OP: "Hospitals control access to revenue data, facility fees, contribution margins, and cross-subsidization across departments. Physicians typically see only simplified productivity metrics, such as work relative value units (RVUs), without complete insight into the profits their labor generates. This lack of transparency prevents physicians from accurately assessing whether compensation is equitable.
Mine: "Hospitals possess detailed knowledge of revenue streams, downstream profits, and cost allocation, while employed physicians typically see only narrow productivity metrics such as RVUs. Without transparency into how clinical labor generates institutional revenue beyond salary formulas, physicians lack the information necessary to assess or challenge inequitable compensation structures."
I am a huge proponent of reverting back to blue book, in person administration of all essay writing assignments. ChatGPT makes essay assignments utterly pointless otherwise.
It's got clear flags of ChatGPT generated to some extent. Sorry to burst your bubble drusso.
Chat GPT often has the "in conclusion" thing at the end and then to rehash the topics in a one liner...in fact when I punched a similar prompt into chatGPT it gave me an "in conclusion" paragraph that looked pretty similar right at the end.
It also loves this style of multiple small paragraphs of a few sentences each.
I could get almost exact similar sentences from Chat GPT with a prompt that included these specific subjects. For example:
OP: "Hospitals control access to revenue data, facility fees, contribution margins, and cross-subsidization across departments. Physicians typically see only simplified productivity metrics, such as work relative value units (RVUs), without complete insight into the profits their labor generates. This lack of transparency prevents physicians from accurately assessing whether compensation is equitable.
Mine: "Hospitals possess detailed knowledge of revenue streams, downstream profits, and cost allocation, while employed physicians typically see only narrow productivity metrics such as RVUs. Without transparency into how clinical labor generates institutional revenue beyond salary formulas, physicians lack the information necessary to assess or challenge inequitable compensation structures."
I've noticed that kids are learning to write like AI. It's becoming the new "Trans-Atlantic" regional dialect of our time
Her other essay was on "Why teachers shouldn't use AI detectors to evaluate student work."
True story.
A group of students, including my daughter, was implicated in an academic scandal involving the unauthorized use of AI. It seems odd that only a particular group of students, who all happen to know each other, would be targeted and accused of scholastic dishonesty. What the accusing teacher didn't realize was that all work, including keystrokes, is tracked in Google Classroom, whether the activity occurs on or off-campus.
So, my daughter and her peers appeared before the school Honor Code committee for their required punishment, listened to the accusations, and reviewed the evidence. The evidence rested on the fact that the charging teacher used a non-district-approved "AI-detector" application to screen student work and automatically awarded a zero grade for any submission that "fell out" of the algorithm.
But...my daughter asked, "Did you check the document versioning history?" Blank stares looked back. The charging teacher didn't realize that Google Classroom has automatic versioning history. Teachers can literally track every keystroke a student makes in producing their work product or assignment. The teacher went back and checked the versioning history. No large "cut and paste" activities were detected that would be consistent with plagiarism from other sources. The grade was amended to a 95. Case dismissed.
If you have school-age kids, recognize that these tools and checks are out there. Also, remember that educators are not immune to bias and ideological warfare.
......I'm sorry you're in denial that your kid is using ChatGPT on the reg for her schoolwork. Did it ever occur to you that she could have ChatGPT pulled up somewhere else and literally just type the output without copy/pasting anything? I guess it didn't occur to the administrators.
True story.
A group of students, including my daughter, was implicated in an academic scandal involving the unauthorized use of AI. It seems odd that only a particular group of students, who all happen to know each other, would be targeted and accused of scholastic dishonesty. What the accusing teacher didn't realize was that all work, including keystrokes, is tracked in Google Classroom, whether the activity occurs on or off-campus.
So, my daughter and her peers appeared before the school Honor Code committee for their required punishment, listened to the accusations, and reviewed the evidence. The evidence rested on the fact that the charging teacher used a non-district-approved "AI-detector" application to screen student work and automatically awarded a zero grade for any submission that "fell out" of the algorithm.
But...my daughter asked, "Did you check the document versioning history?" Blank stares looked back. The charging teacher didn't realize that Google Classroom has automatic versioning history. Teachers can literally track every keystroke a student makes in producing their work product or assignment. The teacher went back and checked the versioning history. No large "cut and paste" activities were detected that would be consistent with plagiarism from other sources. The grade was amended to a 95. Case dismissed.
If you have school-age kids, recognize that these tools and checkers are out there. Also, remember that educators are not immune to bias and ideological warfare.
what were the consequences for the teacher pray tell
That is not very encouragingTriple secret probation.
what were the consequences for the teacher pray tell
@drusso were Joe and Fatima’s kids ensnared in this liberal teachers union witch hunt?
This is internet magic!!!!@drusso were Joe and Fatima’s kids ensnared in this liberal teachers union witch hunt?
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