All the World Loves a Lover: Monarchy, Mass Media and the 1934 Royal Wedding of Prince George and Princess Marina
Bibliographic record
Abstract
Abstract This essay examines the little-studied 1934 royal wedding of Prince George, Duke of Kent, the youngest surviving son of George V and the famously glamorous Princess Marina of Greece to argue that the British media projected this event on a scale, and in ways, never seen before. More than on any previous occasion it was a royal event driven by intimate publicity, and by a coterie of courtiers, clerics and newsmen who were committed to elevating a ‘family monarchy’ as the emotional centre-point of national life. I suggest that this celebration of royal domesticity engendered popular support for the House of Windsor in a period characterised by political turbulence at home and abroad. In this vein, I argue that social elites orchestrated royal family events as mass mediated nation-building exercises designed to create loyal subjects to the Crown, and that new technologies transformed how media audiences and royalty interacted with one another.
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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 | 0.003 | 0.003 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".