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Record W3168486290 · doi:10.51357/jdll.v1i1.115

From Despair to Hope: A Narrative Journey to Becoming Amateur Intellectuals During COVID-19

2021· article· en· W3168486290 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

VenueJournal of Digital Life and Learning · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsReflexivityAutoethnographyNarrativeComplicityIdentity (music)FeelingSociologyAmateurStorytellingPsychologyAestheticsSocial psychologyGender studiesPolitical scienceSocial scienceLawLiterature

Abstract

fetched live from OpenAlex

In this narrative paper, we explore our coming-of-age as amateur intellectuals through our collaborative engagement with reflexivity during the COVID-19 pandemic. Situating our reflective acts within technology and our educational contexts we address and analyze feelings of persistent tug of war between despair and hope. Through collaborative autoethnography, we challenged our perceptions and investigated our views on educator identity as “teachers” to challenge perceptions of educator roles and responsibilities. We discuss how the COVID-19 pandemic response narrowed the role of the teacher, ultimately diminishing and destabilizing teacher identity while limiting their sense of agency. We draw on our collective experiences during the pandemic to draw a thread between the pandemic response’s effect on teaching and teacher identity, a conflicting awareness of both complicity and resistance, and our battles with the despair of necessity. By engaging in collaborative doubt and reflexivity, we discovered that we were consistently instilled with an astonishing sense of hope within our community.

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)0.001
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.567
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.088
GPT teacher head0.383
Teacher spread0.295 · 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