Debate contribution: Economic Landscape
Debate contribution by Mr Conor Murphy on .
- MLA
- Mr Conor Murphy
- Party at the time
- Sinn Féin
- Date
- 23 September 2024
- Type
- Debate contribution (made as a minister)
- Business
- Oral Answers to Questions
- Heading
- Economic Landscape
- Assembly identifier
- Official Report component 4544059
Read the official Assembly record
Text
You tend to find that the areas with the most economic inactivity and that we need to target most are the areas of highest deprivation. It can go from 25% overall economic inactivity up to 35% or 36% economic inactivity in the north-west and areas like that. That is, of course, where the focus has to be. We are in a position where a lot of the skills money that the Department for the Economy traditionally relied on was European funding, which has not been replaced. We have had to identify sources of funding to try to ensure that we provide money for skills and training support, which I did in July with £11·5 million of support. We also have to ensure that we work closely with regional colleges, the community and voluntary sectors and with groups such as the Clanrye Group, which the Member will be familiar with in our area. It works to identify and support people who are economically inactive to try to bring them back to the workforce. We also need to make sure that such groups, the colleges and the universities are working collaboratively to try to make the best possible impact. That will apply most in the areas where those people reside, which tend to be areas of deprivation.
215 words. Text as published by the Northern Ireland Assembly.
Assessment
Jev’s structured answers met the documented threshold for “not qualifying”.
- Overall probability that the activity is being used to promote, exploit or escalate an identity-based controversy: 0.02 (qualifying needs at least 0.70; at or below 0.30 is not qualifying).
- None of the five culture-war criteria was met (each was below 0.60).
- Assessed as legitimate policy scrutiny (0.89).
- No identity-based framing was identified (1.00).
- The overall probability was at or below the not-qualifying 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
| Question | Probability | Met? |
|---|---|---|
| Identity framing | 0.02 | No |
| Sectarian or communal antagonism | 0.02 | No |
| Cultural grievance politics | 0.01 | No |
| Dog-whistle messaging | 0.02 | No |
| Controversy escalation | 0.02 | No |
| Legitimate policy scrutiny | 0.89 | Yes |
| Overall judgement | 0.02 | At or below not-qualifying threshold |
| Option | Probability |
|---|---|
| No identity-based framing (chosen) | 1.00 |
| Reports or questions it | 0.00 |
| Criticises or condemns it | 0.00 |
| Adopts it | 0.00 |
| Subject | Probability |
|---|---|
| No identity-related subject | 0.94 |
| Gender, sexuality, abortion and related social issues | 0.01 |
| Education structures, integration and community division | 0.01 |
| Sectarianism, hate crime and community relations | 0.01 |
| Disability (including neurodivergence and mental health), disabled people and disability or sickness benefits | 0.01 |
Assessed 21 October 2026 at 11:05 UTC by jev-1.13.0 (requested as typesafe/jev) under rubric 2026.10-r9, methodology 1.9.
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