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Situating the Self Through Sketching: First Year Doctoral Students Finding Their Way

2024· article· en· W4403603043 on OpenAlexaffvenue
Kelvin Quintyne, Tayebeh Sohrabi, Simon Adu-Boateng, Benjamin Boison, Cecile Badenhorst, Beverly FitzPatrick

Bibliographic record

VenueThe Canadian Journal for the Scholarship of Teaching and Learning · 2024
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMathematics educationPsychologySociologyPedagogy

Abstract

fetched live from OpenAlex

As part of a two-semester advanced research methodology course, five PhD students completed three sketches—beginning, middle, and end of course—to represent how they were thinking and feeling about themselves as doctoral students as they progressed through their first year. They also wrote reflections to complement the sketches and shared their sketches in class. At the end of the course, the students co-led a study with their two instructors to examine their learnings and understandings gained from sketching. The students wrote individual narratives about their experiences and the instructors wrote narratives about how sketching was part of their pedagogical thinking. The analysis revealed seven student themes, including positive outcomes and challenges associated with sketching. One positive outcome was that students felt empowered as the sketches gave them the opportunity to reflect back on their progress, both cognitively and emotionally, over their first year of doctoral studies. Sketching itself was a challenge for some, but all felt that it was a powerful experience. Sketching provided the instructors with insights they might not have gotten through words alone, enhancing their sense of teaching and learning, and gave them valuable information to support the students.

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 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)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.627
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.099
GPT teacher head0.400
Teacher spread0.301 · 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 teacher head, not a consensus.

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

Citations1
Published2024
Admission routes2
Has abstractyes

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