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← Cormac Devlin

Rhetoric and votes

Cormac Devlin

Experimental measure. Read the method before quoting a number.
This compares the position a member expressed in a debate with the way they voted in the division that debate produced. It is not a measure of honesty. A member who argues against a Bill and then votes against it scores as aligned; so does one who never departs from a party line they also argue for. Voting against your own stated view under a party whip is ordinary parliamentary behaviour, which is why the whip breakdown below sits next to the headline rather than underneath it. Full method and validation →
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only 1 scorable vote — below the 10 needed for an interval worth printing
100%
voted with their own party's majority · 1,165 votes

Why the denominator is small

The measure only exists where this member actually spoke in the debate their vote belongs to, and where that vote can be tied to a specific question. Both cuts are steep.

Votes cast1,169
… spoke in that debate section29
… vote tied to a specific question12
… position stated clearly enough to score1

The third row is the sharpest cut. A committee-stage sitting can hold fifteen divisions while its speeches discuss forty-two numbered amendments, and the record does not say which amendment each division was. Those votes are counted here and deliberately left unscored rather than guessed.

Alignment against the whip

The same scorable votes, split by whether the member went with their party. The top-right cell is the one worth reading: a stated position reversed while following the party line.

Voted with own partyVoted against own party
Matched their words 1 0
Contradicted their words 0 0

Not scored: 17 where the vote could not be tied to a question, 0 where no clear position was stated in the debate.

Tone

Valence runs −1 (negative) to +1 (positive). This is a separate measure from alignment above and says nothing about how anyone voted — "the Minister has been asleep at the wheel" is strongly negative and carries no position on the question.

ModelSpeeches scored Mean valenceCorpus mean
vader394 +0.637 +0.423

Which policies move them

Mean tone by topic, most negative first. Topics come from an LDA model fitted over debate contributions; the terms are the model's, the labels are hand-assigned.

TopicSpeechesMean valence
War, Ukraine, Israel and human rights international · ireland · ukraine · israel · war · irish 12 -0.007
Justice, policing and defence garda · defence · justice · violence · criminal · gardaí 15 +0.013
Health scandals, inquiries and bereaved families hospital · families · family · cancer · children · did 9 +0.114
Children, families and young people children · women · young · child · family · families 12 +0.504
Transport, Dublin and rural development local · transport · dublin · city · public · community 9 +0.619
Covid-19 and public health emergency covid · health · public · pandemic · measures · safety 29 +0.708
Legislation, courts and legal process act · legislation · shall · court · person · information 16 +0.730
Cost of living, tax and budget cost · tax · budget · energy · costs · increase 13 +0.806
Health services, HSE and disability health · services · care · service · hse · mental 21 +0.810
Climate, agriculture, energy and water water · climate · farmers · energy · food · agriculture 9 +0.815
Housing, rent and homelessness housing · homes · local · accommodation · rent · affordable 16 +0.817
Departmental programmes and funding (diffuse) department · national · funding · new · important · programme 25 +0.817
EU and international relations ireland · european · irish · union · europe · countries 19 +0.822
Procedural and rhetorical filler (low-content) important · like · good · debate · did · does 6 +0.866
Employment, welfare schemes and business supports scheme · businesses · payment · sector · employment · insurance 16 +0.876
Media, banking and State companies ireland · irish · media · industry · companies · post 6 +0.894
Education and schools school · education · schools · children · students · special 7 +0.972

Departures from their own baseline

Contributions whose tone sits more than two standard deviations from this member's own average. Baselines are per member on purpose — an absolute threshold would just rank people by temperament.

2021-05-05 · An tOrd Gnó - Order of Business · z = -3.4 · Justice, policing and defence
There has been a large and worrying number of high-profile assaults on members of the public, particularly on public transport and in public spaces. Unfortunately, some have been posted on social media. Recently, a lady was effectively pushed under a DART trai…

Full contribution →

2023-11-28 · Policing, Protests and Public Order: Statements · z = -3.3 · Justice, policing and defence
I welcome the opportunity to contribute to this debate on the recent spate of violence in Dublin city. Last Thursday’s attack on three innocent children and their carer outside Gaelscoil Choláiste Mhuire shocked the nation. I send my best wishes to the childre…

Full contribution →

2022-09-22 · Ceisteanna ar Pholasaí nó ar Reachtaíocht - Questions on Policy or Legislation · z = -3.3
As the Tánaiste will be aware, I have raised issues relating to Go-Ahead Ireland in this House on previous occasions, including the poor quality of bus service it is providing to users in Dublin and across a wider area. My office is inundated with complaints a…

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2025-06-25 · Offences against the State (Amendment) Act 1998 and Criminal Justice (Amendment) Act 2009: Motions · z = -3.2 · Justice, policing and defence
I welcome the opportunity to support the motion before us to renew the provisions of the Offences Against the State (Amendment) Act 1998 and section 8 of the Criminal Justice (Amendment) Act 2009 for a further 12 months. These are exceptional measures but also…

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2022-10-12 · Bus Services · z = -3.2 · Transport, Dublin and rural development
I thank the Minister of State, Deputy Hildegarde Naughton, for taking this matter. I am disappointed that the Minister for Transport, Deputy Ryan, was not able to make it. I have raised this issue previously, most recently with the Tánaiste in this Chamber in …

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2020-11-26 · Brexit Supports · z = -3.1
I have no doubt this has been extremely time-consuming for the Minister and officials not just in his Department but across the Government for the past number of years. That said, it is prudent for us to have the reserve that budget 2021 has given us because o…

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2020-06-24 · Covid-19 (Measures to Protect Victims of Domestic Violence): Statements · z = -3.1 · Children, families and young people
I extend my sympathy to the family, friends and colleagues of the late Detective Garda Colm Horkan. His death was a reminder to all of us of the stark risks members of the Garda face day in, day out. Covid-19 has highlighted the shortcomings and failures of th…

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2024-04-23 · Acknowledgement and Apology to the Families and to the Victims of the Stardust Tragedy: Statements · z = -3.0 · Health scandals, inquiries and bereaved families
I, too, welcome the State apology. It is necessary and very long overdue. As other Members have done, I welcome all the families here today. I hope last week's verdict of unlawful killing gives some degree of comfort and vindication to the families for the ter…

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2021-09-23 · Ceisteanna ar Reachtaíocht a Gealladh - Questions on Promised Legislation · z = -3.0
Is the Tánaiste aware of the alarming trend of urban post offices closing and the impact this is having on communities? In that past year alone in the Dún Laoghaire-Rathdown constituency, Monkstown and Foxrock post offices have closed. Residents in Dalkey were…

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2024-10-15 · An tOrd Gnó - Order of Business · z = -3.0 · Covid-19 and public health emergency
I am sure the Taoiseach will have seen media reports of the high-profile case of Naveed Rana, a taxi driver who was jailed last week for five and a half years for repeatedly sexually assaulting a young woman he was driving home. At the time of the assault, Mr.…

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2022-05-17 · An tOrd Gnó - Order of Business · z = -2.9 · Health services, HSE and disability
The Taoiseach will be aware that medical scientists in many HSE hospitals are due to strike tomorrow, which will have implications for patients and hospitals alike. Medical scientists provide 24-7 services in hospitals, and most of them have a science degree o…

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2026-03-05 · Situation in the Middle East: Statements · z = -2.9 · War, Ukraine, Israel and human rights
I welcome the opportunity to contribute to the debate on the situation in the Middle East. I am sure all of our thoughts are with the people, especially the more than 20,000 Irish citizens, who have been caught up in this conflict. It is a worrying time for th…

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The whip, across the whole corpus

Alignment by the party a member sat for on the day, with 95% Wilson intervals. This is the test the measure could have failed.

PartyAligned95% CI n
PBP 82.5% 68–91% 40
LAB 78.2% 69–85% 101
IND 76.5% 72–81% 327
SF 75.8% 69–81% 198
SD 71.4% 58–82% 49
FG 69.1% 62–76% 162
FF 67.9% 60–75% 165
GP 56.8% 41–71% 37

Members of government parties align their stated position with their vote 9.4 points less often than Independents — bootstrap 95% CI [+2.7, +16.0], which excludes zero. Opposition parties sit 9.5 points above government too, CI [+3.1, +15.9]. Independents and opposition members are indistinguishable from each other (−0.0 points, CI [−6.3, +6.2]). So the gap does not come from having no party; it comes from being in government, which is what a whip effect should look like. Read this as the measure behaving sensibly, not as a finding about any individual.

How the scorer scores

Two automated methods were built and both failed. What survives is the rule-based layer, which is why the coverage above is narrow.

MethodAccuracy95% CI n
nli-vs-mover-anchor:deberta 35.9% 29–42% 234
nli-vs-mover-anchor:distilroberta 11.5% 8–16% 234

Zero-shot entailment was asked to judge contributions whose true position is known — the member moved the amendment, so the answer is support by construction — and got it right 11.5% of the time, returning "unclear" or "oppose" for nearly everything. A classifier trained on the rule-labelled cases over the corpus embeddings reached 71.1% against a 65.3% majority-class baseline: better than chance, not better enough. Both are excluded from every figure on this page. Only the rule-based cascade, which is exact where it fires and silent where it does not, is used.

Method

Position is read from the member's own contributions in the debate section the division belongs to, by a three-step cascade: an explicit move of the question ("I move amendment No. 5", true by construction); declarative stance phrases ordered so negations are tested first, because "I cannot support" and "I do not oppose" both defeat a naive keyword match; and, where neither fires, a zero-shot entailment model judging the contribution against the question put. Tone uses a separate model and is reported separately. Agreement against hand-labelled cases, with bootstrap intervals, is on the evidence page; no score here should be read without it.