ENH: should a sequence of integers be a valid input to BooleanArray?
Came across this while working on #37377

xref #28778 for potentially relevant prior discussions

This works on NumPy:
``` python
In [10]: np.array([0, 1, 2], dtype=bool)
Out[10]: array([False,  True,  True])
```
but the following fails with `BooleanArray`:
``` python
In [11]: arr  = pd.array([0, 1, 2], dtype="boolean")
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-11-44c03a9227eb> in <module>
----> 1 arr  = pd.array([0, 1, 2], dtype="boolean")

/workspaces/pandas/pandas/core/construction.py in array(data, dtype, copy)
    296     if is_extension_array_dtype(dtype):
    297         cls = cast(ExtensionDtype, dtype).construct_array_type()
--> 298         return cls._from_sequence(data, dtype=dtype, copy=copy)
    299 
    300     if dtype is None:

/workspaces/pandas/pandas/core/arrays/boolean.py in _from_sequence(cls, scalars, dtype, copy)
    276         if dtype:
    277             assert dtype == "boolean"
--> 278         values, mask = coerce_to_array(scalars, copy=copy)
    279         return BooleanArray(values, mask)
    280 

/workspaces/pandas/pandas/core/arrays/boolean.py in coerce_to_array(values, mask, copy)
    176                 == values_object[~mask_values].astype(float)
    177             ):
--> 178                 raise TypeError("Need to pass bool-like values")
    179 
    180     if mask is None and mask_values is None:

TypeError: Need to pass bool-like values
```
I'm +0 on supporting NumPy-like behavior here (or we should make sure to document the current behavior)