Tax credits as a mechanism for political party funding in Aotearoa New Zealand: an exploratory study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article explores tax credits for political party funding in Aotearoa New Zealand (NZ). Participation in the democratic process is low and declining in NZ, as political party membership drops and parties increasingly focus their attention on small numbers of large donors. Advantages of tax credits include incentivising parties to engage with society to attract donations, encouraging individuals to participate in the democratic process and potentially providing greater financial support to parties. The primary disadvantage is that tax credits require at least a small financial contribution from a donor, which will not be possible for everyone. For a relatively low cost of approximately NZ$2.35 per voter, large donations could be eliminated from the NZ political funding system, along with the concomitant potential for undue influence. Using the Canadian model for comparison, a similar system in NZ may result in greater public political engagement and better funded political parties.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it