Bibliographic record
Abstract
There is no job description for a member of parliament. Political scientists, civil servants and politicians themselves have long struggled to define the complex combination of moral and ethical obligations that make up the relationship between constituents and elected politicians. This article examines the concept of responsibility or “duty” as it is owed by members of the House of Commons to constituents. It outlines the concept of a fiduciary relationship and fiduciary duty, and provides a brief summary of how, in law, fiduciary relationships have expanded beyond the original application to trustees and beneficiaries. It also reviews the obligations attached to our elected representatives, and then outlines the case for extending fiduciary duty to elected members of parliament. Finally, it examines the consequences of the application of fiduciary duty, referring specifically to the advantages and disadvantages of such a change. This approach provides an opportunity to probe deeper into the relationship that exists between a member of parliament and a citizen, to look at the foundation of this relationship, and to find – through the concept of fiduciary duty – a minimum, legal threshold of accountability to which all members of parliament must rise.
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.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".