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Record W2909701253 · doi:10.20381/ruor-22864

An Analysis of the Québec History Examination: Validity and Historical Thinking

2018· dissertation· en· W2909701253 on OpenAlexaboutno aff
Matthew Russell

Bibliographic record

VenueuO Research (University of Ottawa) · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyHistory

Abstract

fetched live from OpenAlex

This document analysis examines how historical thinking is evaluated by the Ministry of Education history examination in Québec in 2015. High school students in Québec are required to pass this examination in order to receive their diploma. The Ministry examination claims to evaluate students’ historical knowledge and skills. Almost twenty years of Ministry of Education documents were analyzed using a historical methodology and two Ministry examinations were analyzed using a rubric derived from historical thinking criteria to answer the following questions: How has historical thinking influenced the history curriculum and the evaluation of history in the province of Québec? How is historical thinking reflected in the Québec Ministry examination? Analysis of the two examinations show that they are a limited tool for evaluating historical thinking and are instead focused on evaluating historical content knowledge. The current Ministry examination generally has some elements of four domains of historical thinking: evidence, cause and consequence, continuity and change and historical perspective. However, many of the questions only require students to answer at the recall level. Overall, there are few opportunities for students to demonstrate their advanced knowledge of historical thinking on the ministry examination.

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 imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.053
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.287

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.053
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0090.010
Science and technology studies0.0040.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.239
GPT teacher head0.403
Teacher spread0.164 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations3
Published2018
Admission routes1
Has abstractyes

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