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Record W2054806530 · doi:10.1080/01421590310001642948

Identifying the perceived weaknesses of a new curriculum by means of the Dundee Ready Education Environment Measure (DREEM) Inventory

2004· article· en· W2054806530 on OpenAlexaffabout
Hettie Till

Bibliographic record

VenueMedical Teacher · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Environments and Student Outcomes
Canadian institutionsCanadian Memorial Chiropractic College
Fundersnot available
KeywordsCurriculumChiropracticMedical educationStrengths and weaknessesPsychologyOrder (exchange)Remedial educationMedicinePedagogyMathematics educationSocial psychologyAlternative medicine

Abstract

fetched live from OpenAlex

The Canadian Memorial Chiropractic College is in the fourth year of implementing a new four-year Integrative Curriculum. In order to determine how the students experienced the educational environment generated by the new curriculum, the Dundee Ready Education Environment (DREEM) Inventory was administered on the same day to 148 (96%) first-year, 131 (87%) second-year, and 128 (84%) third-year students (n = 407). Resultant scores indicated many areas of concern. However, bimodal and large numbers of 'uncertain' responses also occurred. In order to establish and compare areas of most concern between the three year groups, responses were calculated as percentages indicating for each item those who agree, disagree or are uncertain. This result clearly indicated areas of joint concern for each of the five domains addressed by the DREEM Inventory. Analysis of these concerns formed the basis of strategic planning in order to institute remedial action, and on which to focus institutional resources.

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)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.328
Teacher spread0.295 · 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 designObservational
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

Citations156
Published2004
Admission routes2
Has abstractyes

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