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Record W2918601373 · doi:10.22215/etd/2015-11075

Math Anxiety: Not Just a Numbers Game

2015· dissertation· en· W2918601373 on OpenAlexaff
Heather Douglas

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMathematics
TopicCognitive and developmental aspects of mathematical skills
Canadian institutionsCarleton University
Fundersnot available
KeywordsMathematical anxietyAnxietyPsychologyVariance (accounting)CognitionDevelopmental psychologyVariety (cybernetics)Mathematics educationCognitive psychologyMathematics

Abstract

fetched live from OpenAlex

Math anxiety can influence career choices, result in difficulties in everyday situations involving numbers (e.g., financial decision making) and has been linked with performance deficits on a variety of mathematical tasks.The roles of the classroom environment, societal stereotypes and negative math attitudes have all been associated with math anxiety.Current research suggests that children are developing math-related anxiety at a very young age, leading some researchers to propose that foundational number skills may be related to the development of anxiety about math.The goal of the present study was to develop a clearer, more integrated understanding of the cognitive influences (i.e.attentional, spatial and quantity skills) on math anxiety and math performance.The results showed that math anxiety in adults is not related to deficits in the foundational number skills.Instead, both quantity skills and math anxiety uniquely contributed to variance in math performance.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.051
GPT teacher head0.349
Teacher spread0.298 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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