The Face of Neo-liberalism in the Third World: Landscapes of Coping in Trinidad and Tobago
Bibliographic record
Abstract
With global incorporation, the face of the Third World is being reshaped. This investigation focuses on the alternations caused by neo-liberal globalization and asks “how and why are the geographical landscapes of the Third World being remoulded?” Based on research conducted in the Caribbean nation of Trinidad and Tobago, involving a household survey of economically-stressed neighbourhoods and an examination of national newspaper content, the investigation employs these private and public voices, along with participant observation, in order to uncover the survival tactics employed by the country's citizens. These coping strategies have altered the face of the nation. This revised landscape reflects the blending of the legacy of the recent past with the modifications resulting from efforts to survive in the new economy. Underlying the investigation is the quest to give economic, political, and human events unfolding in the Third World a geographical expression—thus linking pattern and process, as the face of the nation is reshaped by survival strategies into the “landscapes of coping.”
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.016 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".