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Record W2439901050

The Teaching of Mathematics in

2016· article· en· W2439901050 on OpenAlexaboutno aff
British Columbia, David Robitaille, James M. Sherrill

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicMathematics Education and Teaching Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationCurriculumPeriod (music)Reform mathematicsMath warsConnected MathematicsTeaching methodPedagogyMathematicsPsychology
DOInot available

Abstract

fetched live from OpenAlex

Over the past two decades, extensive changes in both the content and the methodology of teaching school mathematics have been planned, recommended, and officially adopted in all of the provinces in Canada. In the period between 1965 and 1975, the so-called math swept across the country bringing with it new content topics and recommendations for change in the methods and materials used in the teaching of mathematics. At the present time, the first surge of what has been termed a back-to-basics movement has begun to influence the field of mathematics education. Throughout this period, little attention has been paid to assessing the extent of the impact of such changes and recommendations on the teaching practice of teachers of mathematics. Much has been written about the academic achievement of students who were taught the math, and any number of curriculum guides and inservice programmes have been produced encouraging teachers to adopt new teaching strategies. However, little if any evidence has been published in Canada concerning the impact of such guides and programs on teaching practice.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.981
Threshold uncertainty score0.822

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.004
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0190.004

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 head0.035
GPT teacher head0.381
Teacher spread0.346 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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