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Canuck Connection: AERO’s Relationship to Canadian Educators

2023· article· en· W4390057250 on OpenAlexaffvenueabout
Peter James Glinos

Bibliographic record

VenueEncounters in Theory and History of Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Education Studies and Reforms
Canadian institutionsQueen's University
Fundersnot available
KeywordsScope (computer science)IndigenousAutonomyPolitical scienceSociologyHistoryLibrary scienceMedia studiesPublic relationsLawComputer science

Abstract

fetched live from OpenAlex

This paper investigates the relationship between the Alternative Education Resources Organization (AERO), considered to be the “primary hub of communications and support for educational alternatives around the world,” and Canadian educators. As it turns out, Canadians, particularly Indigenous groups in Canada, were instrumental in shaping AERO. Educators from Ontario’s alternative education sector, as well as the free schools of British Columbia developed deep connections with AERO over the course of its rise from 1989 to 2003. These relationships helped reinforce AERO’s values surrounding self-directed learning and learner autonomy. An historical analysis was used to understand the influence Canadians had on AERO during the rise of the organization in the 1990’s and early 2000’s. This form of analysis works to reconstruct the past through the examination of primary source material, so that we may learn from the past and better understand the forces that shaped it. For its source material, this inquiry drew from the primary source documents released on AERO’s online archive. This archive contains copies of AERO’s publications from 1989 to 2011, such as The AERO-Gramme Newsletter and The Education Revolution Magazine. The chronological scope of this work encapsulates AERO rise, from 1989 to 2003.

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)0.001
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.448
Threshold uncertainty score0.859

Codex and Gemma teacher scores by category

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

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 head0.025
GPT teacher head0.312
Teacher spread0.287 · 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
Published2023
Admission routes3
Has abstractyes

Explore more

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