{% comment %} §7 Reviewer calibration — anonymised peer score distribution. Renders a flat horizontal-bar histogram of all submitted reviews for a call, with this reviewer's own scores excluded so peers stay anonymous. Required context: distribution.buckets list of {label, count, low, high} distribution.peer_count int — total peer reviews represented distribution.max_total Decimal — maximum possible total score Optional: title override the panel heading note override the small footnote line {% endcomment %} {% if distribution and distribution.peer_count %}

Calibration

{{ title|default:"How your peers have scored" }}

{{ note|default:"Anonymised total scores from other submitted reviews on this call. Compare your draft before submitting." }}

    {% for bucket in distribution.buckets %}
  1. {{ bucket.label }} {{ bucket.count }}
  2. {% endfor %}

{{ distribution.peer_count }} peer review{{ distribution.peer_count|pluralize }} · scale 0–{{ distribution.max_total }} pts

{% elif distribution %}

Calibration

You're the first reviewer to submit on this call. A peer-score distribution will appear here once others have completed.

{% endif %}