Topical question AQT 1006/22-27

Topical question by Ms Connie Egan on 10 February 2025.

MLA: Ms Connie Egan
Party at the time: Alliance Party
Date: 10 February 2025
Type: Topical question
Assembly reference: AQT 1006/22-27
Business: Oral Answers to Questions
Assembly identifier: Official Report component 4790777

Text

Ms Egan asked the Minister for the Economy, given that the recently published Northern Ireland skills barometer for 2023-2033 identified the need for 5,400 people per annum to fill all vacancies in a high-growth scenario, what role the forthcoming legislation will play in encouraging people who are economically inactive into work to help fill those gaps.

56 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:

10 February 2025 – Thank you, Minister. How will you drive productivity in our economy, which has been persistently low in recent years?

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 (0.94).
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.
Question	Probability	Met?
Identity framing	0.02	No
Sectarian or communal antagonism	0.01	No
Cultural grievance politics	0.01	No
Dog-whistle messaging	0.02	No
Controversy escalation	0.02	No
Legitimate policy scrutiny	0.94	Yes
Overall judgement	0.03	At or below not-flagging threshold

Context and attribution (stance)
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 area (top five)
Subject	Probability
No identity-related subject	0.97
Sexism, misogyny, ageism and other equality groups	0.02
Disability (including neurodivergence and mental health), disabled people and disability or sickness benefits	0.01
Flags, emblems, symbols, names and memorials	0.00
Parades, bonfires and commemorations	0.00

Assessed 21 October 2026 at 11:55 UTC by jev-1.13.0 (requested as typesafe/jev) under rubric 2026.10-r9, methodology 1.9.

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