Selling Britishness: Commodity Culture, The Dominions and Empire By Felicity Barnes
Bibliographic record
Abstract
Most historians and students of the British Empire have heard of the Empire Marketing Board, the body created by the Colonial Secretary Leo Amery as a substitute for tariff reform and imperial protectionism. Active between 1926 and 1933, it was declared redundant after the Ottawa agreements of 1932. Its objective was to promote intra-imperial trade and in particular persuade the British public to see the empire as the key source of products that might go into the shopping basket. It flourished as an extraordinary promoter of innovations in poster art and after its demise, its techniques were transferred to other bodies with different objectives. The EMB was led by the metropolis and focused its attention on imports for the metropolitan market. While Felicity Barnes rightly devotes one chapter to the well-trodden theme of the EMB (shifting the focus from Britain to the Dominions), she principally seeks to examine the Dominions’ own initiatives, concentrating on the major territories of Canada, Australia, and New Zealand, the prime players in the development of marketing projects designed in the periphery to promote exports and develop the Dominion economies. The establishment of Dominion marketing boards (which were longer-lived than the EMB) and the creation of their advertising strategies are much less well-known. This book amply fills this gap.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".