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Record W4409699292 · doi:10.22215/cujs.v3i2.5107

Awakening: “The Sociological Imagination” Through Creativity

2025· article· en· W4409699292 on OpenAlexaff
Karina Leclair, Tonya Davidson

Bibliographic record

VenueCarleton undergraduate journal of science. · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicContemporary Sociological Theory and Practice
Canadian institutionsCarleton University
Fundersnot available
KeywordsCreativitySociological imaginationImaginationSociologyAestheticsPsychologySocial scienceSocial psychologyArtCognitive psychology

Abstract

fetched live from OpenAlex

For my SaPP, I was asked to research what creativity is, why it is important to students, and create activities for students to strengthen their creative skills. To form my activities, I used a sociological lens, but also made my activities generic so that any professor could use my work. Specifically, I used the sociological imagination to develop my activities. C. Wright Mills, coined the term “the sociological imagination”, he explains that we must use our imagination to understand why personal issues are connected to greater issues we face as a society. Through my activities, students will face personal challenges and be encouraged to reflect on how these challenges affect broader society. My activities can be used during tutorials or lectures. To break this assignment down I developed a video about what creativity is and why it is important for students, an instruction manual for creative class engagement activities, and a deck of 12 creative class engagement activities to strengthen students' creative skills. In my work I discovered creativity is not an innate skill, we are not born with it, but it can be learned and strengthened. My findings concluded that engaging in creativity effectively is a process that requires observation, trial and error, and collaboration. Through this process, students can become critical thinkers, gain resiliency, and develop strong problem-solving skills.

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)0.010
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.776
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.009
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
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 head0.050
GPT teacher head0.399
Teacher spread0.349 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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