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Record W3171523996 · doi:10.1007/s11125-021-09561-x

“Throwing salt on wounds”: Covid-19 and a curriculum of embodiment

2021· article· en· W3171523996 on OpenAlexaff
Zahra Kasamali

Bibliographic record

VenueProspects · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsAlberta Advanced EducationUniversity of Alberta
Fundersnot available
KeywordsCurriculumCognitive reframingEmbodied cognitionCoronavirus disease 2019 (COVID-19)PedagogySociologyCurriculum developmentEngineering ethicsPsychologyEpistemologyEngineeringSocial psychologyPhilosophy

Abstract

fetched live from OpenAlex

The Covid-19 pandemic certainly amplifies the extent to which curriculum is adaptable, responsive, and proactive. These vulnerabilities, while daunting, can perhaps be welcomed as an invitation to reposition curricular priorities. Covid-19 reveals that an overreliance on the "curriculum as planned" and a continued absence of "the forgetful curriculum" will no longer suffice. The fragility of life and the sources that make life and living possible are often left out of curricular and policy imaginings. This article seeks guidance from Maulana Rumi's story "The Graduate and the Boatman" and poem "One Task" to guide a possible reframing of a curriculum that remembers embodied knowledge and the ecological sources that unite all life forms. Embodied knowledge and ecological philosophies may offer ways to refocus curricula that can help youth to turn inward, courageously contemplate the difficult questions of life, and understand that unprecedented circumstances can be generative.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0080.035
Scholarly communication0.0070.008
Open science0.0010.011
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0050.001

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 head0.089
GPT teacher head0.403
Teacher spread0.314 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2021
Admission routes1
Has abstractyes

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