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
In this informative critique of contemporary leadership, renowned political scientist Donald Savoie poses and answers the crucial questions: where is power located, and who is in charge? In recent years it has become extremely difficult to pinpoint the location of political and economic power, making it complicated to determine who is to blame for political and economic catastrophes and leading to increased disenchantment with Western politicians and bureaucrats. Power considers how forces such as globalization, the new media, the changing role of the courts in parliamentary democracies, the partisanship of political parties in shaping policy, and collapsing boundaries between governments and within government departments have caused citizens to feel their countries are less democratic. Savoie argues that power is leaving institutions and organizations and going to powerful individuals in both the public and private sectors, who often push aside formal processes in order to drive change. A startling and clarifying examination of changes in modern society, Power unravels the tangled web of influences that have put the power to make important decisions in the hands of the few to show why our governing institutions are no longer effective.
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 | 0.000 | 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 | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| 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