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Record W4220807844 · doi:10.31124/advance.19383692.v1

Sage on the Stage to Guide on the Side: The Changing Perception of Teachers’Role and Subsequent Worth

2022· preprint· en· W4220807844 on OpenAlexaffabout
Stephanie Sadownik

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPerceptionVulnerability (computing)PsychologyPrisonAnimationMedical educationPedagogyMathematics educationMedicineComputer scienceCriminology

Abstract

fetched live from OpenAlex

The introduction of technology has lead to the increasing vulnerability for teachers who feel insecure about: the integration of technology into their classroom teaching; the surveillance of students online behaviour; or the engagement of students with less colorful paper and pencil activities that lack media animation. Four school districts participated in this study representing teachers, parents, administrators and IT staff from the provinces of British Columbia and Ontario. This paper presents data related to the expectations for teachers to conduct surveillance of student behaviour online during school hours. Results indicate a surveillance culture that encourages reporting of teacher behaviour by all other stakeholders (i.e. use of cellphone) and implicates teachers roles as changing from teaching to prison guards, monitoring all student activity and responsible for inappropriate use. In some cases, references to teachers as “not doing their job” imply a decrease in the respect for teachers previously warranted.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.039
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0060.003
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0150.006

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 head0.040
GPT teacher head0.307
Teacher spread0.267 · 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

Citations1
Published2022
Admission routes2
Has abstractyes

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