glm with t value and z value difference

Question

I am confused with the following:

I found the next examples in a website https://stats.oarc.ucla.edu/r/dae/zero-truncated-negative-binomial/

library(foreign)
dat <- read.dta("https://stats.idre.ucla.edu/stat/data/ztp.dta")
dat <- within(dat, {
  hmo <- factor(hmo)
  died <- factor(died)
})
summary(dat)
library(VGAM)
m1 <- vglm(stay ~ age + hmo + died, family = posnegbinomial(), 
           data = dat)
summary(m1)
m2 <- glm(stay ~ age + hmo + died, family = gaussian(), 
         data = dat)
summary(m2)

Why in model 1 m1 the summary comes with a z value and in the glm with familiy gaussian the summary comes with t value??

I have seen in other examples that the first one always gives the z value in the third column and in the model 2 m2 the summary comes with t value.