Linda Nelson Murray
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 | 176 | |
| … spoke in that debate section | 19 | |
| … vote tied to a specific question | 13 | |
| … position stated clearly enough to score | 1 |
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 | 0 | 0 |
| Contradicted their words | 1 | 0 |
Not scored: 6 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 support (mover, confidence 0.95) · voted NIL · with their party
I do not claim in any way to have the legal mind that Senator McDowell has. I am just trying to get my head around the legislation and understanding it. I am coming at it from a lay-person's point of view and from listening to business owners. Imagine a scenario in Senator McDowell's butcher shop where merchandise is scattered around the shop in lanes, aisles and areas that staff cannot see. Somebody might slip somet…
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 | 165 | +0.602 | +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 | 5 | -0.274 |
| Legislation, courts and legal process act · legislation · shall · court · person · information | 9 | +0.286 |
| Children, families and young people children · women · young · child · family · families | 12 | +0.463 |
| Health scandals, inquiries and bereaved families hospital · families · family · cancer · children · did | 13 | +0.566 |
| Health services, HSE and disability health · services · care · service · hse · mental | 12 | +0.566 |
| Local government, roads and regional funding county · cork · discuss · west · road · local | 10 | +0.606 |
| Transport, Dublin and rural development local · transport · dublin · city · public · community | 18 | +0.635 |
| Procedural and rhetorical filler (low-content) important · like · good · debate · did · does | 48 | +0.664 |
| Employment, welfare schemes and business supports scheme · businesses · payment · sector · employment · insurance | 32 | +0.720 |
| Education and schools school · education · schools · children · students · special | 15 | +0.782 |
| Departmental programmes and funding (diffuse) department · national · funding · new · important · programme | 7 | +0.885 |
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 thank the Cathaoirleach for the opportunity to speak. There are many challenges in the Department of Justice. I am really looking forward to seeing the positive changes the Minister can make. My area is Meath West, which includes great towns like Navan, Trim…
I wish to pass on my sincere condolences to the family of Brian Crowley. Last Friday night, I was at sitting at home. I opened Instagram and saw a fellow politician online shaking and in tears. This person is a county councillor elected democratically by the p…
I thank the Minister of State. I appreciate emergency care is provided to children up to 16 years of age but we should not be letting them get to the emergency care situation. The teeth of primary schoolchildren who cannot afford to go to a private dentist are…
I raise an issue that affects many people, which is newspaper articles on inquests and the sheer stress and heartache this causes many families. When I speak, I like to use real-life examples. I will talk about a woman I know who lost her father on 5 October 2…
I would like to bring up the horrible issue of graffiti. More and more, when I travel through towns in County Meath, graffiti is becoming a major issue, especially in Navan, the town I come from. Graffiti is criminal damage and it is against the law. The peopl…
I want to speak about the SME test that was introduced by the Government as part of a series of measures in May 2024. This is a no-brainer because it means that any major new measure from the Government will be assessed for its impact on small businesses throu…
I thank the MEPs for coming. My focus is on small businesses and always has been. I would like when we take over the European Presidency that we have a focus on Irish business. When it comes to insurance, for example, we have not had a new entrant into the Iri…
In one of my first speeches in the Seanad, I spoke about community safety. I spoke about the fear people have walking the streets at night time and, in fact, in day time. I spoke of attacks in our local towns and how people constantly live in fear. I used the …
To any man who assaults a woman: shame on you. To any man who monitors a woman, controls her moves, where she is, what she is doing, her finances: shame on you. To any man who grabs his partner's phone to look at who she is speaking to: shame on you. To any ma…
I thank the Minister for being here. I echo my colleague that the Minister has got off to a fantastic start and we are delighted to have him here in the Chamber. I represent Meath West where there are a huge number of businesses across many of our towns, such …
Yesterday, I was invited by the Rotary Club of Navan to the Just 1 Life event, which is the young person driver awareness programme. Approximately 350 students from St. Patrick's Classical School and Eureka Secondary School, Kells, packed the Solstice theatre …
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.