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Record W7061820083

Sir John A Macdonald and the Controversy of Statues Dedicated to Him

2020· article· en· W7061820083 on OpenAlexaboutno aff

Bibliographic record

VenueSOURCE Sheridan's Institutional Repository (Sheridan College) · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsHonourOffensiveSection (typography)IndigenousArgument (complex analysis)OppressionRidiculousPretext
DOInot available

Abstract

fetched live from OpenAlex

This website offers an educational guide to help readers understand the historical events that Sir John A Macdonald set in motion that allowed for the oppression of the Indigenous peoples of Canada, and why the statues that are erected in his honour are receiving backlash in modern day, and how we could solve this issue. The website is divided into sections, with the homepage introducing the project and what our goal of the website is in educating viewers on historical events that are affecting us now. There is then a section dedicated to Macdonald, explaining the events and acts he was involved with that directly affected the Indigenous population. There is then a section on the statues that are currently facing backlash in the communities and need changes. We then have a viewpoint page that offers looks into both sides of the argument on the statues, as Macdonald is an important aspect of Canadian history as the first Prime Minister, and additionally why the statues are offensive and represent a racist man who set in motion cultural erasure. The last section is our resolution, where we provide a solution to this problem by suggesting additional plaques explaining the things he did while in office as well as erecting statues and commemorations celebrating Indigenous people and their culture.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.806
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.007
GPT teacher head0.215
Teacher spread0.208 · 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.

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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