profession file · read as its task mix mostly human ground
machine territory 20% moving fast 25% shared ground 25% human ground 30%

// the weekly task mix, weighted, mapped to the exposure scale. Derived, not declared: change the mix and the bar changes. method

University lecturer

education

University lecturers split their weeks between research, writing and reviewing papers, lecturing, and supervising students. AI now assists literature search, drafting and grading, and is reshaping assessment as students use it too, while framing original research and supervision remain theirs.

The exposed part of the week

// tasks in this mix that sit in machine territory or moving fast

The part that gains value

// the shared and human ground in this job's mix

The full mix

// what fills this job's week ( ●●● core · ●● regular · ● occasional )
Read●●●
Research●●●
Criticize●●
Theorize●●
Train●●
Write●●
Plan

Safer ground: build these

// the future skills that shield this particular mix

Ask yourself

Home field

// the dossier(s) behind this profession

Nearby professions