Bibliographic record
Abstract
In a well-known essay, Zygmunt Bauman compares contemporary capital to the absentee landlords of the early modern age, notorious for their neglect of the needs of the populations that fed them. But, unlike the absentee landlords of yesteryear, Bauman argues, the corporations of the twenty-first century are untied from even the locality of the estate, enjoying a new mobility by virtue of their liquid resources. Thus, if one locality proves too inhospitable, capital can always move on to more welcoming sites when the challenges of doing business require ‘a costly application of force or tiresome negotiations. No need to engage, if avoidance will do.’ Bauman’s metaphor captures an important part of modern capitalism, one that many analysts of globalization – whether proponents or critics – would doubtlessly endorse. But while capital is clearly more ‘footloose and fancy-free’ today than in the past, it does not inhabit a completely deterritorialized world. Corporations still choose to operate in difficult and dangerous settings, providing the rewards are high enough. This is particularly the case in resource extraction, where the mobility of capital is highly qualified; capital is not free, for example, to move from the oil-rich and conflictual Niger Delta to the stormy but non-violent shores of west Wales. Instead, geology is destiny, and the oil companies must stay where the oil and the profit is to be found, and the same is true of companies involved in other types of resource extraction. Bauman’s observation that contemporary capital never has to ‘encounter otherness’ and thus be faced with ‘the temptation to reduce difference by force or take up the challenge of communication’ accordingly requires modification: the continuation of much contemporary global commercial activity involves creating security environments that permit its operations, and PSCs are key intermediaries in these arrangements.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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".