Eeeeentrance Eeeexams

Thoughts on Bias in School Admissions

The ritual remains unchanged,
a rigid game played in humming, fluorescent halls:
Scrutinize test batteries
select the correct boxes with mechanical precision,
and if your tally lands in the top ten percent —
Congratulations! You win the prize!
A little glowing badge for your neural profile.
A gold star minted in the blockchain of your permanent record.

Otherwise? Prepare to bleed quietly...

Can the spark of true, deep learning
ever really be captured in digits?
How much do digits reveal and obscure?

A minor café in Canada buzzed with low, layered conversation — voices overlapping like corrupted audio files, half-heard and half-lost. Outside the rain-streaked window, the city of Vancouver dissolved into smeared neon: crimson, electric blue, the sick amber of a thousand streetlamps bleeding into the wet asphalt like spilled circuitry.

Satoru leaned back in his chair, tapping his pen against the table. “Like it or not,” he said with unruffled calm, “education depends on quantification.” His gaze found Tim's across the cluttered table — two empty espresso cups, a folded newspaper, a tablet running three open tabs. "We need a yardstick."

Tim leaned forward sharply, nearly launching one of the mugs off the edge. He caught it with a reflex that looked practiced. "Yeah, but it's gone too far." Frustration burned low and hot in his voice, like a processor running too warm. "Some things simply can't be compressed into digits."

Liao had been quiet, watching them both with the alert, patient expression of someone waiting for exactly the right moment to drop a hand grenade into the conversation. "Think of the wasted potential." His voice rose above the café chatter, clear and urgent.

Melissa set her cup down. "Maybe what we actually need," she said carefully, weighing each word, "is a lot more assessment literacy." She looked from Satoru to Tim, then to Liao. "Not fewer measurements. Smarter readers."