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Record W3214203049 · doi:10.3390/challe12020031

Challenges to Learners in Interpreting Self as Other, Post COVID-19

2021· article· en· W3214203049 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

VenueChallenges · 2021
Typearticle
Languageen
FieldPsychology
TopicCommunication in Education and Healthcare
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsycheCoronavirus disease 2019 (COVID-19)PsychologyDistancingMentorshipSocial distanceInterpersonal communicationOutgroupSocial psychologyMedicinePsychoanalysisMedical education

Abstract

fetched live from OpenAlex

The COVID-19 pandemic has prompted continuing constraints on the ability of students to interact with teachers and peers. Regarding this imposed segregation, what has not been considered is the effect of learners seeing self as other. With respect to augmentations of their body in interpersonal space by, (1) extending the body through witnessing themselves regularly in videoconferencing learning sessions, (2) isolating the body as a result of spending time apart from peers, social distancing at home, and (3) protecting the body through required mask-wearing where learners now consider who they represent in a mask, there are three important ways in which learners have felt unable to recognize themselves as they did pre-COVID-19. This migration from self to other, involving ingroup/outgroup distinctions, will be investigated from a number of perspectives—both sociological and psychological. Why the turning of self into other is problematic to the psyche will be discussed, as will the possible consequences for this ongoing lack of learner recognition long term, including focus on the new norms or embracing self-directed learning. Based on this analysis, the type of mentorship by teachers and parents that may be appropriate for helping learners contend with these changes will be recommended.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.907
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.176
GPT teacher head0.472
Teacher spread0.296 · 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