Bibliographic record
Abstract
The purpose of this paper is to explore the relationship between globalization, corporations, and education. Using the combined methods of Critical Autoethnography and Critical Discourse Analysis, this paper attempts to offer hope and alternatives to the current corporate-global order we find ourselves in. Five key areas are explored through the course of this paper. First, this paper studies the phenomenon known as globalization. Second, this paper studies the history of corporate interest in education. The need to situate such interests in the past is necessary in developing the pattern of domination that corporations have implicated themselves in regarding the educational community. Third, this paper explores the roots of globalization, that is, colonization. The colonization of earlier years is examined in comparison with the globalization of today. Essential to such a study is the impact upon North American indigenous populations as one of the original groups to experience colonization and now globalization. Of great significance is the alternative that First Nations educational beliefs offer to education. Fourth, this paper,as a case study, examines a more contemporary issue, and that is the contract that the University of British Columbia, The Alma Mater Society of The University of British Columbia, and Coca-Cola Bottling Ltd. signed in 1995. Exploration of the contract and its implications provides an opportunity to explore the dangers between corporate and educational partnerships. Finally, this paper focuses in on activities of dissent towards the current corporate-global order and how these signs of dissent equate into hope for a different tomorrow.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.053 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".