Maria Byrne
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 | 465 | |
| … spoke in that debate section | 196 | |
| … vote tied to a specific question | 75 | |
| … position stated clearly enough to score | 5 |
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 | 4 | 0 |
| Contradicted their words | 1 | 0 |
Not scored: 121 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 move amendment No. 17: In page 15, after line 39, to insert the following: “(2A) Nothing referred to in a subparagraph of any paragraph of subsection (1), as included in that paragraph, shall operate to limit a person’s right against self-incrimination under Article 38.1 of the Constitution or Article 6 of the European Convention on Human Rights.”…
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 | 1,096 | +0.685 | +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 |
|---|---|---|
| Health scandals, inquiries and bereaved families hospital · families · family · cancer · children · did | 64 | +0.401 |
| Covid-19 and public health emergency covid · health · public · pandemic · measures · safety | 16 | +0.431 |
| Justice, policing and defence garda · defence · justice · violence · criminal · gardaí | 10 | +0.484 |
| Health services, HSE and disability health · services · care · service · hse · mental | 81 | +0.592 |
| Climate, agriculture, energy and water water · climate · farmers · energy · food · agriculture | 9 | +0.638 |
| Children, families and young people children · women · young · child · family · families | 32 | +0.670 |
| Cost of living, tax and budget cost · tax · budget · energy · costs · increase | 20 | +0.678 |
| Education and schools school · education · schools · children · students · special | 39 | +0.730 |
| Local government, roads and regional funding county · cork · discuss · west · road · local | 74 | +0.740 |
| Employment, welfare schemes and business supports scheme · businesses · payment · sector · employment · insurance | 75 | +0.741 |
| Housing, rent and homelessness housing · homes · local · accommodation · rent · affordable | 18 | +0.742 |
| Procedural and rhetorical filler (low-content) important · like · good · debate · did · does | 205 | +0.771 |
| Legislation, courts and legal process act · legislation · shall · court · person · information | 17 | +0.801 |
| Transport, Dublin and rural development local · transport · dublin · city · public · community | 51 | +0.804 |
| Media, banking and State companies ireland · irish · media · industry · companies · post | 9 | +0.816 |
| Departmental programmes and funding (diffuse) department · national · funding · new · important · programme | 13 | +0.871 |
| EU and international relations ireland · european · irish · union · europe · countries | 11 | +0.901 |
| War, Ukraine, Israel and human rights international · ireland · ukraine · israel · war · irish | 8 | +0.911 |
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 Minister of State, Deputy Butler, for coming to the House to discuss this important issue. In recent weeks I have met an adult and a 18-year-old girl who suffer from Crohn's disease. The 18-year-old girl has been very debilitated over recent years.…
I wish to raise the report published yesterday on women and ovarian cancer. The report found that many women are presenting very late in the day in terms of being diagnosed with ovarian cancer. Somewhere between 300 and 400 people are coming forward very late.…
I will raise an issue that I raised in the previous Seanad, that is, that people who receive a terminal diagnosis should automatically qualify for a medical card. It is something that will receive unanimous support across this House. It is also something that …
I thank the Cathaoirleach and also the Leader, Senator Chambers, for coming today. It would be inconsistent if I did not raise the march last Saturday in Limerick of more than 11,000 people, and the concerns around the hospital. We will have the opportunity to…
I agree with the remarks of the Taoiseach on the banning of sunbeds, following a report from the HSE that over 11,000 people a year are being diagnosed with some form of skin cancer, many cases of which are as a result of people using sunbeds. It is something …
The Minister of State is welcome to the Chamber. More than 100 children and young adults have been waiting for more than a year for mental health appointments in Limerick and the mid-west, and this is not good enough. I am aware there are many problems recruit…
I welcome the announcement by Shannon Airport this morning that two extra routes, one to Porto and one to Naples, will be added to its complement of flights from Shannon Airport, starting in the summer of 2023. That means people can travel to more than 26 dest…
I thank the Minister of State for coming in to discuss this all-important topic. I ask for an update on indoor vaping. In 2022, I brought a Private Members' motion to this House and the Minister of State's predecessor, Deputy Feighan, took it on behalf of the …
I rise to express my frustration with what is happening at University Hospital Limerick. I have been very consistent for quite a while in looking for the Minister to come here to address it. Yesterday, I wrote to the Minister, Deputy Donnelly, and asked him to…
I thank the Minister of State for her response. Yesterday, I welcomed in the House the appointment of Pádraig Ó Céidigh as the new chair of the board. I certainly believe that his experience of aviation and business will be a big asset. Shannon Airport has suf…
I thank the Minister of State for coming to the House to discuss this all-important topic. I am asking the Government to reduce VAT on sunscreen and sun protection factor, SPF, products to 0%. The Irish Cancer Society tells us that over 13,000 people are diagn…
While I understand we must comply with European law, perhaps I need to raise directly with the Minister for Health and suggest that sunscreen be added to the medicines list or be listed as a preventative cure. Ireland has a high rate of skin cancer and the VAT…
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.