World age problems when using @everywhere in a function

I have a julia (1.12) file that is structured something like this:

using Distributed

function main()
  @everywhere variable = [0, 1, 2, 3, 4, 5]

  for x in variable
    println(x^2)
  end
end

main()

From my understanding @everywhere should define the variable on every worker, including the main process.
But when I run the code, it give me this error:
UndefVarError: `variable` not defined in `Main` The binding may be too new: running in world age 38716, while current world is 38717.

In a jupyter notebook, I can run main() again a second time, and then it works, since I assume then the world age matches...

Can someone explain what is going on and if there is some way to circumvent this problem? I can fix it by defining it again in the main process variable = [0, 1, 2, 3, 4, 5], or by taking the code out of the main() function but to me that doesn't feel intended.

Start with the minimal Julia 1.12 reproducer in issue #156, focusing on @everywhere inside main() and the second invocation behavior. Compare execution from a script with the Jupyter notebook case. Done should mean the world-age behavior is explained and a supported way to avoid the failure is identified or documented.