Topical question AQT 1563/22-27
Topical question by Mr Gary Middleton on .
- MLA
- Mr Gary Middleton
- Party at the time
- Democratic Unionist Party
- Date
- 22 September 2025
- Type
- Topical question
- Assembly reference
- AQT 1563/22-27
- Business
- Oral Answers to Questions
- Assembly identifier
- Official Report component 5123672
Read the official Assembly record
Text
Mr Middleton asked the First Minister and deputy First Minister, especially the First Minister, whether she wants the armed forces to "butt out" of all jobs fairs in Northern Ireland or just those that are in areas that are under nationalist control, given that, when taking up office, she said that she would be a "First Minister for all", but following the decision by councillors in Londonderry about the jobs fair, her commentary shows that she is unwilling to set aside party politics and show leadership.
86 words. Text as published by the Northern Ireland Assembly.
Follow-ups by the same MLA in the Chamber
These were assessed together with this record:
Assessment
Sectarianism, hate crime and community relations
Jev’s structured answers met every documented threshold for flagging as culture-war activity.
- Overall probability that the activity is being used to promote, exploit or escalate an identity-based controversy: 0.82 (flagging needs at least 0.70; at or below 0.30 is not flagged).
- Criteria met: Identity framing (0.86); Dog-whistle messaging (0.61); Controversy escalation (0.81).
- The text adopts the identity-based framing in its own voice (0.87).
- Subject area: Sectarianism, hate crime and community relations.
- The text adopts an antagonistic or dog-whistle framing, which is flagged even alongside legitimate scrutiny.
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 | 0.86 | Yes |
| Sectarian or communal antagonism | 0.17 | No |
| Cultural grievance politics | 0.37 | No |
| Dog-whistle messaging | 0.61 | Yes |
| Controversy escalation | 0.81 | Yes |
| Legitimate policy scrutiny | 0.23 | No |
| Overall judgement | 0.82 | Above flagging threshold |
| Option | Probability |
|---|---|
| No identity-based framing | 0.10 |
| Reports or questions it | 0.02 |
| Criticises or condemns it | 0.01 |
| Adopts it (chosen) | 0.87 |
| Subject | Probability |
|---|---|
| Sectarianism, hate crime and community relations | 0.93 |
| Legacy of the Troubles, victims and paramilitarism | 0.05 |
| Another identity-related subject | 0.01 |
| No identity-related subject | 0.00 |
| Flags, emblems, symbols, names and memorials | 0.00 |
Assessed 21 October 2026 at 13:11 UTC by jev-1.13.0 (requested as typesafe/jev) under rubric 2026.10-r9, methodology 1.9.
Disagree with this assessment?
A second, larger AI model can read this record again, without being told the MLA’s name or party, against the same published rubric. It also asks whether the activity mainly serves the public interest or mainly advances division. Its verdict replaces the current one, whichever way it goes, and its reasons are published here. Each record can have one second assessment.
If you still think the record or its classification is wrong after that, or the record itself has a factual error, you can challenge it. A person reads every challenge, and any change is recorded publicly above with its reason.