Eugene Murphy
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 cast | 309 | |
| … spoke in that debate section | 117 | |
| … vote tied to a specific question | 32 | |
| … position stated clearly enough to score | 4 |
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.
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 party | Voted against own party | |
|---|---|---|
| Matched their words | 3 | 0 |
| Contradicted their words | 1 | 0 |
Not scored: 85 where the vote could not be tied to a question, 0 where no clear position was stated in the debate.
Every case the pipeline flagged, with the contribution it read and the vote as recorded. Judge them yourself — that is the point of showing them rather than only the rate.
Read as oppose (cue, confidence 0.90) · voted TA · with their party
I hope he has a nice day and is enjoying what he is hearing and seeing. I also wish a céad míle fáilte to the other people in the Gallery. I thank all the Senators for engaging in the debate and expressing their views, whether they were on one side or the other.…
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.
| Model | Speeches scored | Mean valence | Corpus mean |
|---|---|---|---|
| vader | 725 | +0.570 | +0.423 |
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.
| Topic | Speeches | Mean valence |
|---|---|---|
| Justice, policing and defence garda · defence · justice · violence · criminal · gardaí | 8 | -0.062 |
| War, Ukraine, Israel and human rights international · ireland · ukraine · israel · war · irish | 7 | +0.128 |
| Health scandals, inquiries and bereaved families hospital · families · family · cancer · children · did | 25 | +0.240 |
| Cost of living, tax and budget cost · tax · budget · energy · costs · increase | 13 | +0.413 |
| Irish-language contributions (sorted by language, not policy) agus · seo · leis · sin · atá · bhfuil | 5 | +0.453 |
| Covid-19 and public health emergency covid · health · public · pandemic · measures · safety | 18 | +0.573 |
| Local government, roads and regional funding county · cork · discuss · west · road · local | 42 | +0.585 |
| Procedural and rhetorical filler (low-content) important · like · good · debate · did · does | 324 | +0.589 |
| Health services, HSE and disability health · services · care · service · hse · mental | 13 | +0.607 |
| Climate, agriculture, energy and water water · climate · farmers · energy · food · agriculture | 46 | +0.607 |
| EU and international relations ireland · european · irish · union · europe · countries | 9 | +0.716 |
| Transport, Dublin and rural development local · transport · dublin · city · public · community | 20 | +0.718 |
| Housing, rent and homelessness housing · homes · local · accommodation · rent · affordable | 12 | +0.725 |
| Legislation, courts and legal process act · legislation · shall · court · person · information | 13 | +0.731 |
| Media, banking and State companies ireland · irish · media · industry · companies · post | 12 | +0.759 |
| Departmental programmes and funding (diffuse) department · national · funding · new · important · programme | 7 | +0.814 |
| Employment, welfare schemes and business supports scheme · businesses · payment · sector · employment · insurance | 18 | +0.860 |
| Education and schools school · education · schools · children · students · special | 25 | +0.875 |
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.
I pay tribute to the Taoiseach, Deputy Varadkar. I did not happen to be around yesterday when the debate took place. I wish him well. It was quite an emotional day for him and some of the Opposition comments could have been more generous on the day that was in…
This morning I was informed that the price of fuel will increase by 7.5 cent per litre on the wholesale market. This will mean a 9 cent increase at the pumps within 48 hours. I predict that by St. Patrick's Day we will have passed the €2 mark. We understand mu…
I want to spend my two minutes in thought for the people of Türkiye and Syria and what they are going through. The Cathaoirleach was with me on a delegation which met a Turkish delegation from the petitions committee in the House last week. We had a lovely tim…
I support the comments of Senators Cassells, Sherlock and Ruane. Despite all the protestations, advertising for gambling is getting worse. I watch TV and content online and it is getting worse by the week. It is appalling. As other Senators said, it leaves des…
I was not here on certain days for the Order of Business so it is possible that the issue of high energy prices has been discussed this week. If so, I apologise for bringing it up again. We learned recently that householders are paying €250 more for electricit…
It is great to be able to raise this issue in the House this morning. It is nice to have one of our own Senators, Senator Hackett, here in the role of Minister of State. I know the Minister of State has a keen interest in this area. I studied horticulture in m…
In the few minutes I have I will try to deal with a few quick points. Senator Wall is to be highly commended for getting this debate going. My colleague, Senator Byrne, has done a lot of work in this area and the Minister of State has a huge interest it. With …
I thank the Minister of State very much. I understand that he is subbing here. The Minister, Deputy McEntee, knows our county very well. I know her personally and I know that she wants to ensure people in the county are safe, but in the short term we must cons…
I acknowledge the hard work the Minister does. She did not expect to be hit by this tsunami. When Covid first hit, we thought it would be over in a number of weeks. We see where we are now. I know the Minister understands that it has been a hard time for music…
I will today deal with something that is very topical. Because of his Roscommon connections, the Deputy Leader will know what I am going to talk about, which is Lough Funshinagh and the serious flooding in south Roscommon. The callows area along the River Shan…
I will not labour my point any further. I thank the Minister of State for a very open and frank exchange on the issues I have raised. It is good to know that a meeting will take place. There are two things that should be borne in mind. First, the lake continue…
I echo other Members' thanks to all of the staff, Martin and all his people. I also thank you a Chathaoirligh. Tom Hickey is a gentleman to the tips of his fingers and has always been very helpful to us all. I also thank all my colleagues here. The situation i…
Alignment by the party a member sat for on the day, with 95% Wilson intervals. This is the test the measure could have failed.
| Party | Aligned | 95% 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.
Two automated methods were built and both failed. What survives is the rule-based layer, which is why the coverage above is narrow.
| Method | Accuracy | 95% 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.
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.