Robert O'Donoghue
Not yet computed for this member.
The alignment pipeline has not produced a score here. That is usually because this member never spoke in a debate section that went to a division with an attributable question — see the coverage table below.
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 | 135 | +0.551 | +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 |
|---|---|---|
| Climate, agriculture, energy and water water · climate · farmers · energy · food · agriculture | 5 | +0.297 |
| Transport, Dublin and rural development local · transport · dublin · city · public · community | 9 | +0.345 |
| EU and international relations ireland · european · irish · union · europe · countries | 5 | +0.545 |
| Education and schools school · education · schools · children · students · special | 9 | +0.611 |
| Children, families and young people children · women · young · child · family · families | 7 | +0.732 |
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 speak today on behalf of the constituents of Dublin Fingal West, dealing with the stress caused by their houses literally crumbling around them. Families did everything right. They saved, they waited for their homes to be built, took pride in their home and …
We have had warnings from European farm organisations that nitrogen fertiliser imports into the EU have fallen by 80% since the carbon border adjustment mechanism, CBAM. What assessments has the Minister made on the likely consequences it will have for fertili…
Dereliction makes our towns look worse, damages local pride, drives footfall away from businesses and sends the message that neglect is tolerated. At a time of such acute public infrastructure needs, this is simply unacceptable. This Bill does not create a new…
I could not agree more with the Minister of State. We should buy Irish. We should all be looking at that. The horticulture sector is under immense pressure due to conflict and climate change, and costs have rapidly increased over the past 20 years. I have work…
The absence of robust safeguarding policies in many sports often comes to light by chance. However, even minimal scrutiny reveals that safeguarding is frequently treated as an afterthought for adults. It is only considered once something goes seriously wrong. …
Too often, we speak about domestic abuse as if leaving is a simple choice when for many, it is not. Coercive control and financial abuse mean survivors may have no safe access to money, even if they are in employment themselves. The safe fund policy launched r…
One of the core issues is how land is being mapped. Farmers are reporting that productive land is being wrongly classified as peatland with very little consultation or clarity coming towards them. Once land is labelled under GAEC 2, strict restrictions apply. …
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.