R. J. Chambers on <i>Securities and Obscurities</i>: Making a Case for the Reform of the Law of Company Accounts in the 1970s
Bibliographic record
Abstract
This study examines the contribution of Raymond J. Chambers to the British inflation accounting debate in the early‐to‐mid 1970s, from the perspective of the reception of his book, Securities and Obscurities: A Case for Reform of the Law of Company Accounts, published in 1973. To structure the empirical narrative, drawing on previously unpublished documents from the R. J. Chambers Archives, we employ Czarniawska and Joerges’ ( ) notion of the ‘travel of ideas’, and Mumford’s ( ) observation of the existence of ‘inflation accounting debate cycles’. The result is a narrative that traces the environmental and material circumstances that led to Chambers’ book having a lesser impact on the British inflation debate than one would expect based on the international exposure of his ideas, his influence at the time, and the empirical rigour of his proposal. The purpose of this exercise is to assess how contextual factors, such as the choice of publisher, use of promotional material, and distribution methods, can be as (or more) important than the substance of the proposed ideas, arguments, and solutions.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".