Bibliographic record
Abstract
The term globalisation has come to depict the recent global economic, political and social restructuring, and modes by which we now interpret our world (Featherstone, 1996). Jameson (1998 p.56) is one of many theorists who group the various characterisations of globalisation into the “twin, and not altogether commensurate, faces” of hegemonic and universalising economic-political globalism, and the fragmented, diverse and opening cultural form (also Beck, 2000). Within the former, the processes of universalised homogenisation are embodied in widespread neoliberal reform. Everyone, suggests Santos (2001), is integrated into globalism either as included privileged elites, or by the specific ways in which they remain outside the global economy yet provide sweatshop labour, resources and markets. Sociocultural theorisations on the other hand, emphasise the divergence in local adaptations of larger global forces. These adaptations continually challenge dominant values and knowledge, ensuring diversity, fragmentation, and plurality have become the leitmotifs of the global age. Local, regional and transnational movements have enabled the development of innovative social life and radicalised communities (Santos, 2001). Globalisation thus, can be thought of as a complex dialectic of both political-economic and sociocultural transformations, as likely to enhance the particular or the local, as it is the universal or global.
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 | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.037 |
| Scholarly communication | 0.016 | 0.021 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.007 | 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".