Bibliographic record
Abstract
This paper will explore the perspectives and narratives developed by three different sets of Chinese investors in Papua New Guinea (PNG): investors in the retail, mining and construction sectors. It is estimated that 90 percent of new Chinese private investors in the PNG retail sector hail from Fuqing, a coastal community in Fujian Province with a long history of transnational migration. Larger state-owned mining ventures and construction companies draw on a more disparate workforce, even though they are headquartered in Beijing. All three sets of investors face different degrees of stigmatization from their competitors, the media and different Chinese and local actors. Based on interviews with Chinese investors in PNG and China, and drawing on Chinese scholarly studies, this paper will explore the interaction of these three groups of investors with Chinese state and non-state actors, and evaluate how this shapes the process of "localization." The paper will examine how relations with state and non-state actors in PNG are evolving over time, as both groups find ways to "get things done" in a country where mainland Chinese investors have a short history of engagement.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".