MétaCan
Menu
Back to cohort

Reporting or Reconstructing? The Zine as a Medium for Reflecting on Research Experiences

2016· article· en· W2497429993 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.

Bibliographic record

VenueCommunications in Information Literacy · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsReflection (computer programming)Scale (ratio)PsychologyCritical reflectionMathematics educationPedagogyComputer sciencePhysics

Abstract

fetched live from OpenAlex

In a research-based course, undergraduate third year students were asked to submit their reflections on their research experience in the zine medium. While the literature shows that the zine medium can encourage students to reflect meaningfully about their experiences, evaluating the medium, which is a mix of text and visuals, can be challenging for the instructor. This paper explores the value of zines as a medium for reflection using the 4R Reflection Scale as a framework. The 4R Scale by Ryan and Ryan (2015) outlines four levels, reporting and responding, relating, reasoning and reconstructing, to determine the depth of thinking in the reflection. The zines analyzed using the 4R Reflection Scale show that students were likely to report and respond on their research experience (lowest level on the reflection scale) rather than reconstruct (highest level on the reflection scale).

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)0.014
metaresearch head score (Gemma)0.107
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.762
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.107
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.005
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 head0.390
GPT teacher head0.623
Teacher spread0.232 · 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