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Record W3101950131 · doi:10.37867/120301

BUCHANS: A MINING TOWN: EXCAVATING ECONOMICEXPLOITATION THROUGH CANADIAN DOCU-DRAMATURGY

2020· article· en· W3101950131 on OpenAlexaboutno aff
Aditi Vahia, Devang Nanavati

Bibliographic record

VenueTowards Excellence · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsDemocracyImmediacyDignityGlobeFraming (construction)Political sciencePolitical economySociologyLawGeography

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.779
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.061
GPT teacher head0.295
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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