Running pattern detector against the corpus
The dataset shows the gap between named policy priorities (emissions, housing, reconciliation, healthcare) and the actual flow of funds — concrete spend versus stated plan.
Aggregated from the matches below. Severity bands are calibrated per pattern; counts and dollar totals reflect this snapshot only.
Glassbox surfaces correlations and observations, not findings of misconduct. Severity is a calibrated read on how strongly the dataset matches the pattern definition — a starting point for review, not a verdict.
The match meets the pattern threshold but the signal is the lower band. Normal review queue.
The match exceeds the routine threshold. Worth a closer look — pull the source rows, walk the citation.
The match is in the highest band of the calibrated scale. Recommend: prioritise for active review.
Severity is computed from the detection signal · ILIKE keyword match on prog_purpose_en / prog_name_en, summed across the most recent 5 fiscal years, compared to a calibrated stated annual commitment per priority. Severity scales by gap percentage.
The dataset shows federal grant & contribution spending tagged to climate & emissions reduction ran at ~$2.3B/year over the most recent 5-year window (34,222 agreements across 9 departments), versus a stated annual baseline of ~$9.5B (24% of stated). Glassbox shows the gap; the policy decision-maker confirms whether the baseline measure is right.
The dataset shows federal grant & contribution spending tagged to housing affordability & supply ran at ~$602M/year over the most recent 5-year window (206 agreements across 7 departments), versus a stated annual baseline of ~$9.0B (7% of stated). Glassbox shows the gap; the policy decision-maker confirms whether the baseline measure is right.
The dataset shows federal grant & contribution spending tagged to indigenous reconciliation ran at ~$917M/year over the most recent 5-year window (8,024 agreements across 29 departments), versus a stated annual baseline of ~$26.0B (4% of stated). Glassbox shows the gap; the policy decision-maker confirms whether the baseline measure is right.
The dataset shows federal grant & contribution spending tagged to healthcare transfers & services ran at ~$8.4B/year over the most recent 5-year window (15,386 agreements across 23 departments), versus a stated annual baseline of ~$50.0B (17% of stated). Glassbox shows the gap; the policy decision-maker confirms whether the baseline measure is right.