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Record W4403070571 · doi:10.54337/nlc.v9.8997

“Would you ever say that to me in class?”

2014· article· en· W4403070571 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProceedings of the International Conference on Networked Learning · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsUniversity of New Brunswick
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Alberta
KeywordsClass (philosophy)Computer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Despite years of study and theorizing, we know very little about students’ and instructors’ experiences of relationality in online courses. This paper reports on a two-university qualitative study that sought insight into the nature and experience of relationality in asynchronous, text-based courses in which teacher and students do not come face to face. Interviews with 20 instructors and 20 students from a variety of disciplines revealed that their experiences of connection with, or disconnection from, each other were profoundly influenced by the phenomenon of online disinhibition. The online disinhibition effect is defined as the tendency of people to behave in unrestrained ways when interacting with others online. These behaviours have been classified as “benign” or “toxic.” Disinhibition has long been identified and recognized by psychologists as a factor in computer-mediated communications, but there is little research illuminating the role it plays in online teaching and learning, and what there is tends to be inconclusive. While several studies show that students do tend to behave in unrestrained ways when interacting online, students in the online course studied by Conrad (2002a and 2002b) demonstrated increased inhibition. Both students and instructors in the current study reported on many instances of benign and toxic disinhibition, although stories about the latter were more prevalent. Benign disinhibition was manifested in stories of shy students who participated more freely online, and in stories of students who disclosed more about themselves than they would face-to-face. Toxic disinhibition was manifested in stories about angry and abusive emails and posts. Students also indicated that their awareness of the possibility of anger erupting easily through miscommunication resulted in an “excessive niceness.” Thus inhibition may be a paradoxical response to the increased possibility of disinhibited behaviour in online learning environments. This study found that disinhibited behaviour, whether in its benign or toxic form, is a factor that powerfully affects the nature of student-student and student-teacher relationships in online courses.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score0.454

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
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 science0.0010.000
Research integrity0.0000.001
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 head0.041
GPT teacher head0.345
Teacher spread0.304 · 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