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Ideas to Minimize Exam Anxiety

2003· article· en· W2170929093 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Engineering Education · 2003
Typearticle
Languageen
FieldMedicine
TopicMedical Education and Admissions
Canadian institutionsMcMaster UniversityStatistics Canada
FundersMcMaster University
KeywordsAnxietyPsychologyTest anxietyTerm (time)Test (biology)Clinical psychologyMedical educationApplied psychologyMathematics educationMedicinePsychiatry

Abstract

fetched live from OpenAlex

Abstract The debilitation score from the Alpert‐Haber Anxiety Achievement Test was used to identify students suffering from exam anxiety. Principal component Analysis was then used to show that the debilitation score was strongly related to short‐term and long‐term anxiety and self‐image and not, as expected, to study skills, problem‐solving skills, or avoidance to engage in solving difficult problems. Required workshops to help students address low self‐image and high short‐term and long‐term anxiety were introduced, but they had modest short‐term success. However, significant improvement in student performance occurred when faculty included measures of student performance other than the final exam (such as term work, projects, and self‐assessment) and when students contracted for the weighting that the final exam would contribute to their final grade. The use of self‐assessment was effective for all students regardless of their level of exam anxiety.

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.

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)0.006
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.306
Teacher spread0.294 · 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