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Record W2756105590

Written Socratic Dialogue as a self-learning technique in a Pharm.D programme

2017· article· en· W2756105590 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePharmacy Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsUniversité de MontréalUniversité du Québec à Montréal
Fundersnot available
KeywordsPharmacyContext (archaeology)Socratic methodPsychologyPerceptionLifelong learningPedagogyMathematics educationMedical educationMedicineNursingPolitical science
DOInot available

Abstract

fetched live from OpenAlex

As part of a reform of the Pharm.D programme at the Universite de Montreal’s Faculty of Pharmacy in 2007, self- learning was proposed as a valued instructional technique to develop lifelong learning competencies for the students. In this context, Written Socratic Dialogue (WSD) emerged as the primary technique used by professors. WSD is to be conducted in three steps: (1) self-learning activities; (2) student-faculty interaction sessions; and (3) wrap-up activities. The objectives of this study were to evaluate the place of WSD as part of a range of instructional techniques and eventually to formulate recommendations. Student perception on diverse instructional techniques was determined using a validated survey, which also allowed technique appreciation and ranking analysis, as well as a better understanding of student-faculty interactions. The survey results showed that the benefits of WSD are improved time management, faster learning, and opportunities for in-depth learning.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.897
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.059
GPT teacher head0.484
Teacher spread0.425 · 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