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← Colm Burke

Rhetoric and votes

Colm Burke

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 2 scorable votes — below the 10 needed for an interval worth printing
100%
voted with their own party's majority · 1,154 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 cast1,155
… spoke in that debate section14
… vote tied to a specific question13
… position stated clearly enough to score2

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 2 0
Contradicted their words 0 0

Not scored: 1 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
vader665 +0.539 +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 8 -0.153
Health scandals, inquiries and bereaved families hospital · families · family · cancer · children · did 16 +0.207
Justice, policing and defence garda · defence · justice · violence · criminal · gardaí 5 +0.241
Local government, roads and regional funding county · cork · discuss · west · road · local 9 +0.278
Housing, rent and homelessness housing · homes · local · accommodation · rent · affordable 8 +0.324
Children, families and young people children · women · young · child · family · families 5 +0.365
Climate, agriculture, energy and water water · climate · farmers · energy · food · agriculture 8 +0.382
Procedural and rhetorical filler (low-content) important · like · good · debate · did · does 22 +0.458
Employment, welfare schemes and business supports scheme · businesses · payment · sector · employment · insurance 17 +0.565
Covid-19 and public health emergency covid · health · public · pandemic · measures · safety 19 +0.578
Legislation, courts and legal process act · legislation · shall · court · person · information 14 +0.579
Health services, HSE and disability health · services · care · service · hse · mental 120 +0.756
Departmental programmes and funding (diffuse) department · national · funding · new · important · programme 91 +0.799
Education and schools school · education · schools · children · students · special 23 +0.875

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.

2023-12-12 · Work Permits · z = -2.9
The Department of Justice is processing its side but there is a delay between the two Departments. What timescale are we talking about from start to finish, from the time of the application being submitted for the work permit and the end of the whole process o…

Full contribution →

2025-04-02 · Agriculture Supports · z = -2.9
A recent study - and there have been a number of them - by agri-mental health group Farming Minds in UCD found that 23.4% of farmers are considered at risk of suicide, 50% of farmers are currently experiencing moderate to extremely severe depression and almost…

Full contribution →

2024-01-23 · Conflict in Israel and the Occupied Palestinian Territory: Motion · z = -2.9 · War, Ukraine, Israel and human rights
I very much welcome the motion that has been brought forward. We have 2.1 million people living as hostages in a small area of land with no escape, no support, no access to medical care, no housing and no food. A total of 50% of the population is under the age…

Full contribution →

2022-10-27 · Work Permits · z = -2.9
The problem we have is that a lot of the smaller hospitals around the country still have shortages of general doctors. Another problem arising - I know it does not come under the remit of the Minister of State's Department but it is something we need to look a…

Full contribution →

2025-06-18 · Ceisteanna ar Pholasaí nó ar Reachtaíocht - Questions on Policy or Legislation · z = -2.9
The average time from when a medicine is approved by the European Medicines Agency to it being available in Ireland is 617 days. Between 2004 and 2025, 402 new medicines were approved by the European Medicines Agency, of which 71% had applications made in Irel…

Full contribution →

2022-02-16 · Water Services · z = -2.9 · Housing, rent and homelessness
I thank the Minister of State. My understanding is that there is now a connection from this treatment plant directly into a pumping station that pumps sewage into a facility for Irish Water, in towards Cork city. That connection is with an Irish Water sewage t…

Full contribution →

2023-02-16 · Domestic, Sexual and Gender-based Violence · z = -2.8
I know my colleague referred earlier to the figures. Some 41% of Irish women know someone in their circle of family or friends who has experienced intimate partner violence. I have figures from the Courts Service showing that applications for orders increased …

Full contribution →

2023-10-24 · An tOrd Gnó - Order of Business · z = -2.8 · Local government, roads and regional funding
In August of this year, the Taoiseach was in Sarsfields Hurling Club and saw the facilities it has available. Over the past few days, over €500,000 worth of damage has been done as a result of flooding. At the same time, there is an organisation which has rece…

Full contribution →

2025-05-20 · Animal Diseases · z = -2.8
I thank the Minister. As I outlined and as the Minister said, between 2022 and 2024, there was a 36% increase in herds restricted. That is a huge increase. More than 6,000 farmers have lost 40,000 productive animals within a short period. The breakout of TB ha…

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2021-05-12 · Ceisteanna ar Reachtaíocht a Gealladh - Questions on Promised Legislation · z = -2.8
In 2016, I introduced the Civil Law (Missing Persons) Bill 2016. There is one part of the jigsaw missing in this area, namely, a central database for unidentified human remains that are found. We have had a number of cases in the past few years, such as the re…

Full contribution →

2025-04-03 · Flood Relief Schemes · z = -2.8
I thank the Minister for his reply but I am getting no answer to the question I raised. I asked when the Minister of State expected to have the environmental impact study back. When will we have a public consultation? When can we move on with this project? It …

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2025-05-08 · Ceisteanna ar Pholasaí nó ar Reachtaíocht - Questions on Policy or Legislation · z = -2.7
Blackpool suffered flooding damage in 2010, 2012 and 2013. It was agreed that a flood relief programme would be put in place. Environmental impact studies were carried out and presented by the Office of Public Works, OPW, to the Department of public expenditur…

Full contribution →

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.