Debate contribution: Sentencing: Knife and Drug-related Crime

Debate contribution by Mrs Naomi Long on .

MLA
Mrs Naomi Long
Party at the time
Alliance Party
Date
11 March 2024
Type
Debate contribution (made as a minister)
Business
Oral Answers to Questions
Heading
Sentencing: Knife and Drug-related Crime
Assembly identifier
Official Report component 4269786

Read the official Assembly record

Text

There are a number of complex parts to that. First, sentencing lies with the Lady Chief Justice and the judiciary, who are independent of my office. We can certainly, through a sentencing Bill, set the maximum sentences for an offence, but it is up to the judiciary, on the basis of what they hear and what they learn from the specialist reports that are put in front of them, to bring that to a conclusion in the sentences that are given. I hope, though, that the judiciary will take account of the Assembly's indicating with stiffer maximum sentences the severity that it attaches to those crimes. I believe that the best way to deal with issues around drugs is through a harm reduction model and a health-based approach, not necessarily through stiffer sentences. Often, the people who come before the judiciary have relatively small amounts of drugs, but their drug taking and drug dependency have fuelled acquisitive and other petty crime. They need to be drug-free and to be supported through rehabilitation and harm reduction rather than to be further criminalised by the system.

184 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: 0.03 (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 (0.91).
  • 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 messaging0.02No
Controversy escalation0.02No
Legitimate policy scrutiny0.91Yes
Overall judgement0.03At 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 subject0.97
Gender, sexuality, abortion and related social issues0.02
Disability (including neurodivergence and mental health), disabled people and disability or sickness benefits0.01
Flags, emblems, symbols, names and memorials0.00
Parades, bonfires and commemorations0.00

Assessed 21 October 2026 at 09:50 UTC by jev-1.13.0 (requested as typesafe/jev) under rubric 2026.10-r9, methodology 1.9.

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