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
Purpose This paper takes a long-term view of how the US public and private sectors have been viewed in relation to each other. It notes that since the time of approximately the Nixon Administration, each sector has not been viewed favourably by the public. Over the past 40 years, the private sector has been perceived as being run by the unscrupulous and the public sector by incompetents. The essay argues that Donald Trump was able to exploit these circumstances to win the 2016 election. Design/methodology/approach This paper presents a polemic. It relies on archival research and data to create a new view of historical eras in US business history. The object of analysis is the idea of relative legitimacy, the public image of the State vis-a-vis business and business managers. Findings Although the paper addresses business history, a novel argument is presented about the 2016 US Presidential election. It is proposed that Trump took advantage of unique historical circumstances; therefore, his win had more to do with the moment than with him personally. Research limitations/implications The paper interprets the 2016 Presidential race as the end-point of a 250-year journey. It sets a new agenda, in that previous analyses have mostly viewed the ascendancy of Trump as pertaining to distinctively post-industrial twenty-first-century phenomena. Social implications In analysing the 2016 Presidential race, the emphasis is largely removed from issues of personality or partisan politics. Originality/value The paper takes a view of the 2016 election which has not hitherto been adopted. It proposes a new concept – relative legitimacy – as having a substantial explanatory value.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 it