In dplyr 1.0.0, what is the right way to write a logical disjunction?

We can use filter with across with reduce

library(dplyr)
library(purrr)
iris %>% 
    filter(across(starts_with("sepal"), ~ . > 5) %>% reduce(`|`))
#  Sepal.Length Sepal.Width Petal.Length Petal.Width    Species
#1            5.1         3.5          1.4         0.2     setosa
#2            5.4         3.9          1.7         0.4     setosa
#3            5.4         3.7          1.5         0.2     setosa
#4            5.8         4.0          1.2         0.2     setosa
#5            5.7         4.4          1.5         0.4     setosa
#6            5.4         3.9          1.3         0.4     setosa
#7            5.1         3.5          1.4         0.3     setosa
# ...

Is this what you're looking for? Here we include any rows where either Sepal.Length or Sepal.Width is greater than 3.

c_across takes the specified columns and treats each row of those variables as a vector, iterating one row at a time. So, you can perform rowwise filtering by checking if any of the specified columns in the row are greater than 3.

library(dplyr)

iris %>%
  rowwise() %>%
  filter(any(c_across(starts_with("sepal")) > 5))
#> # A tibble: 118 x 5
#> # Rowwise: 
#>    Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#>           <dbl>       <dbl>        <dbl>       <dbl> <fct>  
#>  1          5.1         3.5          1.4         0.2 setosa 
#>  2          5.4         3.9          1.7         0.4 setosa 
#>  3          5.4         3.7          1.5         0.2 setosa 
#>  4          5.8         4            1.2         0.2 setosa 
#>  5          5.7         4.4          1.5         0.4 setosa 
#>  6          5.4         3.9          1.3         0.4 setosa 
#>  7          5.1         3.5          1.4         0.3 setosa 
#>  8          5.7         3.8          1.7         0.3 setosa 
#>  9          5.1         3.8          1.5         0.3 setosa 
#> 10          5.4         3.4          1.7         0.2 setosa 
#> # … with 108 more rows

^{Created on 2020-07-02 by the reprex package (v0.3.0)}