BUCHANS: A MINING TOWN: EXCAVATING ECONOMICEXPLOITATION THROUGH CANADIAN DOCU-DRAMATURGY
Bibliographic record
Abstract
The figures that 1% of the richest possessing 44% of the world’s wealth in 2020 (“Facts: Global Inequality”) evidently indicates the immediacy of addressing the horrific economic gaps which have been irreversibly disrupting the socioenvironmental balances across the globe and within the national borders. This paper aims to have a broader view of the glocal implications of this scenario with the help of a Canadian documentary experiment, which can be seen as microcosm of the macrorealities. It may be noted that the Canadian confederation was completed when Newfoundland (in the milieu of which the action of Buchans takes place) joined it at last in 1949- which almost coincides with the constitutional re-formation of India. Like the industrially developing India, the economically developed Canada also aspires to follow democratic ideals and all-inclusive policies which can guarantee the protection of the basic rights, needs and dignity of all human beings, irrespective of their socio-economic status. It would be interesting to see in this paper as to how Buchnas, a Canadian documentary experiment, brings to light the plights of the labor class working in the darkest corners of the mines, and how the exploitative operations of a giant mining company shown in this play stands for the predatory gaze of all the profit-intensive operations that continue to exploit a huge part of humanity as well as the collective natural sources.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".