Debate contribution: Ministerial Code of Conduct

Debate contribution by Mr Jonathan Buckley on 10 February 2026.

MLA: Mr Jonathan Buckley
Party at the time: Democratic Unionist Party
Date: 10 February 2026
Type: Debate contribution
Business: Opposition Business
Heading: Ministerial Code of Conduct
Assembly identifier: Official Report component 5435351

Text

Last June was a particularly difficult time for many people across Northern Ireland. There was never any justification for harm to any individual; I want to make that clear from these Benches. There was no justified or warranted attack on anybody who lives in Northern Ireland. My thoughts and concerns at that time and those of the vast majority of people were with the young girl who had just been subject to a most brutal attack. Across the country, there is huge concern about the wave of uncontrolled and illegal immigration and the impact that it has had on the people in our society.

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

Assessment

Qualifying Immigration, asylum, race, ethnicity and Travellers

Jev’s structured answers met every documented threshold for a qualifying culture-war activity.

Overall probability that the activity is being used to promote, exploit or escalate an identity-based controversy: 0.49 (qualifying needs at least 0.70; at or below 0.30 is not qualifying).
Criteria met: Sectarian or communal antagonism (0.69); Dog-whistle messaging (0.78).
The text adopts the identity-based framing in its own voice (0.89).
Subject area: Immigration, asylum, race, ethnicity and Travellers.
The text adopts an antagonistic or dog-whistle framing, which qualifies 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

Probability that each statement is true of this text (0 = no, 1 = yes). A criterion counts as met at 0.60 or above.
Question	Probability	Met?
Identity framing	0.51	No
Sectarian or communal antagonism	0.69	Yes
Cultural grievance politics	0.04	No
Dog-whistle messaging	0.78	Yes
Controversy escalation	0.20	No
Legitimate policy scrutiny	0.13	No
Overall judgement	0.49	Between thresholds

Context and attribution (stance)
Option	Probability
No identity-based framing	0.09
Reports or questions it	0.00
Criticises or condemns it	0.02
Adopts it (chosen)	0.89

Subject area (top five)
Subject	Probability
Immigration, asylum, race, ethnicity and Travellers	0.84
Sexism, misogyny, ageism and other equality groups	0.08
Legacy of the Troubles, victims and paramilitarism	0.03
Sectarianism, hate crime and community relations	0.03
No identity-related subject	0.01

Assessed 21 October 2026 at 14:51 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.