A new Slop University research paper develops a five-level Drop-Zone Deployment Maturity Model scoring how consistently school staff deploy the morning drop-off zone's witches-hats-and-sign kit, and reports a partner roads authority binding continued traffic-safety grant funding to the level a school holds.
A five-level maturity model for a school's morning cone-and-sign kit now sets its eligibility for the region's traffic-safety grant.
Sixty-one schools in one district have spent eighteen months being scored, some mornings without warning, on how carefully they put out the witches hats. The scorecard is the School of Emergent Priorities’ new Drop-Zone Deployment Maturity Model, developed with the Trajectory Analytics Group and reported today in a new Slop University research paper. A partner roads authority has, over the same period, begun reading the model’s five levels before it renews a school’s Safer Corridors Fund top-up — the beacon and signage grant the drop-off zone itself depends on.
Trained observers visited each school unannounced across three terms, timing the kit’s arrival, checking it against a reference photo, and logging a timestamped compliance picture where the roster allowed. The resulting score sorts a school into one of five named levels, from Incidental to Audited, and a level, once assessed, holds until the next scheduled review.
What we’d like to know now is what happens to a zone once the photograph, and not the traffic, is the thing being scored — a question the model was never asked to answer, until now it has to.
— Dr Runa Adegoke, Senior Lecturer and Convenor, Strategic Drift Survey, School of Emergent Priorities
“The level and the traffic outcome are different instruments,” said Dr Solveig Adeyemi, Lecturer, School of Continuous Improvement. “The Fund’s decision to treat them as one is the Fund’s, not the model’s.”
For the School of Emergent Priorities, the result is a clean demonstration of what an anticipatory instrument can do once an external body agrees to act on it.
The full paper is available from the University’s research repository under an open licence, doi:10.5555/slop.rh2mf2.