Merely TINCering around: the shifting private authority of technology, information and news corporations
Bibliographic record
Abstract
This article examines the “technology, information, and news corporations” (TINCs), a group of under-studied non-state actors to enhance understanding of the interplay between forms of private authority in times of crisis. Three interrelated arguments regarding the shifting private authority of leading UK- and US-based TINCs are presented. First, contributions to the period of economic instability that began in 2007 have destabilized the long-standing authority of Anglo-American firms including Bloomberg, Dow Jones, and Thomson Reuters. Second, through their involvement in two overtly normative niches of global finance, environmental and Islamic finance, these private actors have responded to contestations of their authority with an enhanced stress on moral authority since 2007. Third, a mere tinkering around with pre-crisis technical knowledge and a persistent reliance on liberal market values is likely to perpetuate rather than resolve the unstable authority of the leading TINCs. Based on an original analysis of primary documents and interviews undertaken with industry participants, this article contributes to existing literature analyzing the changing nature of private authority by revealing limits to shifts and combinations between its moral and technical forms.
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 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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.029 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".