Bibliographic record
Abstract
Building on the Preface, across four sections the Introduction grapples with the Official Record's creation, control and preservation, touches on the tension between democratic openness and the secrecy – required at least some of the time – inherent in many national security operations and considers the role of oversight, leaking and whistle-blowers with relation to this tension. Firstly, the Introduction considers the construction, control and preservation of the Official Record. Secondly, it explores the role played in the construction of the Official Record, the Public Record and the Historical Record by individuals, as well as the complexity inherent in the management of the Official Record as it crosses state boundaries. In particular, this is done via material connected to the Mueller Investigation, which will be discussed with regard to the original rubric introduced in the Preface. In the third section, additions made to the rubric are used to conceptualise the place and scope of oversight over different parts of the Official Record. The fourth section explores how the Official Record is constructed, managed and released into the public domain in the US, the UK, and Canada. This Introduction closes by signposting the overall volume.
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.
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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".