Emer Currie
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 | 753 | |
| … spoke in that debate section | 63 | |
| … 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: 31 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 will share my time with Senator Ward. The Minister of State is very welcome to the House. I am very supportive of this Bill, which puts the LDA on a statutory footing. It is good news, especially for Dublin. There are two principles that are central to tackling the housing crisis, and we are working on them. These are accessibility, whether through affordability measures or social support, and stock and supply. We …
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 | 522 | +0.613 | +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 |
|---|---|---|
| Party-political exchange (party names dominate) workers · rights · right · sinn · féin · irish | 5 | +0.110 |
| Health scandals, inquiries and bereaved families hospital · families · family · cancer · children · did | 10 | +0.195 |
| Justice, policing and defence garda · defence · justice · violence · criminal · gardaí | 16 | +0.357 |
| Health services, HSE and disability health · services · care · service · hse · mental | 23 | +0.507 |
| Housing, rent and homelessness housing · homes · local · accommodation · rent · affordable | 9 | +0.522 |
| War, Ukraine, Israel and human rights international · ireland · ukraine · israel · war · irish | 17 | +0.530 |
| Education and schools school · education · schools · children · students · special | 62 | +0.606 |
| Covid-19 and public health emergency covid · health · public · pandemic · measures · safety | 25 | +0.616 |
| Transport, Dublin and rural development local · transport · dublin · city · public · community | 68 | +0.674 |
| Legislation, courts and legal process act · legislation · shall · court · person · information | 9 | +0.691 |
| Children, families and young people children · women · young · child · family · families | 36 | +0.697 |
| Employment, welfare schemes and business supports scheme · businesses · payment · sector · employment · insurance | 19 | +0.773 |
| Procedural and rhetorical filler (low-content) important · like · good · debate · did · does | 68 | +0.785 |
| Departmental programmes and funding (diffuse) department · national · funding · new · important · programme | 16 | +0.792 |
| EU and international relations ireland · european · irish · union · europe · countries | 26 | +0.813 |
| Cost of living, tax and budget cost · tax · budget · energy · costs · increase | 7 | +0.858 |
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 represent Dublin 15, which contains Ashtown. We all know what happened in Ashtown, not only at the migrant camp last week but the community also faced the murder of a woman, Maud Coffey, a few short weeks ago. Ashtown is a multicultural place to live. It is …
I do not think we have a legislation problem in road safety. I believe we primarily have an implementation and enforcement problem. Our Vision Zero strategy is heading in the wrong direction. Road deaths in Ireland rose by 22% from 2019 to 2025, while the EU a…
I am raising childcare again today. There are not enough places and we have poorly planned spaces. Dublin West is peppered with either unused crèche buildings or sites where crèches were supposed to be built but were not. I know this is happening in other part…
I thank the Minister of State. This is an example of why schools are so frustrated with the workings of the Department of Education. The school in question applied for this a year ago. An emergency is deemed to be "a situation which poses an immediate risk to …
I stand in support of my colleague, the Minister for Justice, Deputy McEntee, and An Garda Síochána, and in staunch opposition to the political games being played by Sinn Féin today. When the country is in shock, when emotions and stakes are high and people ar…
I make an appeal for Members to stop using the catch-all title of "immigration" in this House, in the media, in commentary and in news items when we are talking about criminal and threatening behaviour in communities. Immigration should not be the headline top…
I welcome the opportunity to speak on illegal dumping and this Bill which aims to ensure that CCTV can be used to prevent it. As I dropped my children to school today, I went down Tinkers Hill and along the Lower Road through Strawberry Beds and noticed the ru…
Since the Minister took office, he has placed a significant focus on increased Garda visibility in Dublin city centre, part of which he represents as a constituency TD. His prioritisation of the city centre seems to be working, and I say "well done" on that, b…
The national vehicle and driver file is the State’s database for driving licences, disqualifications and penalty points. It is relied on by An Garda Síochána and insurance companies yet in 2024 almost 8,000 penalty points were unmatched. That is mainly through…
I warmly welcome our Fine Gael colleague, Councillor Barry Sweeny, from Ballyshannon in County Donegal. I will be generous and say I have found an irregularity in car parking charges at commuter train stations in Dublin West. All of the County Dublin train sta…
I note media reports yesterday that stated two thirds of the most recent recruit class from Templemore will be deployed to the streets of Dublin city. Like all Members of the House, I warmly welcome the deployment of additional gardaí to our capital's streets …
Dublin West is being policed on a shoestring. Despite being one of the busiest districts in the country, we are struggling with dangerously low Garda numbers. Blanchardstown, Finglas, Cabra and the K district have just one garda per 529 people and recorded 8,2…
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.