Debate contribution: Welfare System: Tackling Fraud and Error

Debate contribution by Mr Mark Durkan on .

MLA
Mr Mark Durkan
Party at the time
Social Democratic and Labour Party
Date
11 February 2025
Type
Debate contribution
Business
Ministerial Statement
Heading
Welfare System: Tackling Fraud and Error
Assembly identifier
Official Report component 4793806

Read the official Assembly record

Text

— but the words of the former deputy leader of the DUP. Minister, the statement is titled 'Tackling Fraud and Error', yet there is no mention whatsoever of error in the statement. Will the Minister tell us the cost of error to the public purse and what he is doing to eradicate it?

53 words. Text as published by the Northern Ireland Assembly.

Assessment

Not flagged

Jev’s structured answers met the documented threshold for “not flagged”.

  • Overall probability that the activity is being used to promote, exploit or escalate an identity-based controversy: 0.04 (flagging needs at least 0.70; at or below 0.30 is not flagged).
  • None of the five culture-war criteria was met (each was below 0.60).
  • Assessed as legitimate policy scrutiny (0.88).
  • No identity-based framing was identified (1.00).
  • The overall probability was at or below the not-flagging threshold.

This is an AI-generated assessment of the text, made against published criteria. It is not a finding of fact about the MLA or their intentions. The Assembly record itself is the fact.

Jev’s structured answers

Probability that each statement is true of this text (0 = no, 1 = yes). A criterion counts as met at 0.60 or above.
QuestionProbabilityMet?
Identity framing0.02No
Sectarian or communal antagonism0.02No
Cultural grievance politics0.01No
Dog-whistle messaging0.03No
Controversy escalation0.05No
Legitimate policy scrutiny0.88Yes
Overall judgement0.04At or below not-flagging threshold
Context and attribution (stance)
OptionProbability
No identity-based framing (chosen)1.00
Reports or questions it0.00
Criticises or condemns it0.00
Adopts it0.00
Subject area (top five)
SubjectProbability
No identity-related subject0.93
Sectarianism, hate crime and community relations0.03
Another identity-related subject0.02
Constitutional question, Brexit, the Windsor Framework and sovereignty0.01
Disability (including neurodivergence and mental health), disabled people and disability or sickness benefits0.01

Assessed 21 October 2026 at 12:01 UTC by jev-1.13.0 (requested as typesafe/jev) under rubric 2026.10-r9, methodology 1.9.

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