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Record W4400349410 · doi:10.1002/sce.21894

Intrinsic and instrumental care in pen pal letters: Recognizing care in STEM classrooms

2024· article· en· W4400349410 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

VenueScience Education · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of Calgary
FundersNational Science Foundation
KeywordsPsychologyScience educationMathematics education

Abstract

fetched live from OpenAlex

Abstract Studies of both professional science practice and children's science learning show that care is not merely ancillary to disciplinary work but a core and generative constituent of science practice. In science education research, however, students' care is often overlooked. In this paper, we describe the expression of care across two STEM classrooms (6th and 9th grade) studying biology and ecology and participating in a pen pal exchange. We analyze artifacts from the pen pal exchange as well as students' retrospective interviews and written reflections. Two ways of expressing care surfaced in students' letters: caring for guppies and caring for pen pals. We describe each form of care using examples from our data. We find that students' care for guppies and pen pals was both instrumental (in service of their investigations) and intrinsic (positioning guppies and pen pals as inherently valuable). We then connect these findings to studies of care in children's science learning and in professional science. We discuss methodological and practical implications for recognizing and analyzing how students' care manifests in classrooms and for designing learning activities that cultivate care.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.019
GPT teacher head0.263
Teacher spread0.244 · 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