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Record W1605595407 · doi:10.22329/celt.v1i0.3181

12. I Light this Candle: Using Rituals in Teaching

2008· article· en· W1605595407 on OpenAlexaffvenue
Laura E. Taylor

Bibliographic record

VenueCollected Essays on Learning and Teaching · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsClass (philosophy)Subject matterMathematics educationPedagogyGraduation (instrument)PsychologyClosure (psychology)SociologyComputer scienceCurriculumEngineeringPolitical science

Abstract

fetched live from OpenAlex

The use of rituals in the classroom can enrich and enhance learning. They can also build a sense of community and belonging which in turn makes the classroom a safer place to risk sharing ideas and engaging in class discussion. Rituals also bring closure to a particular segment of the class learning experience or for the class itself. How many times have instructors taught the last class of a term or the final class of students’ university education without marking this rite of passage of having completed all of the classes required for a university degree? For many students who do not attend their graduation, the last class may afford them a unique opportunity to reflect on their passage of learning for their degree. This paper suggests that the classroom offers many opportunities for building rituals. It provides examples and guidelines for creating rituals. The instructor who is willing to spend the time to engage students in these activities will enrich the subject matter and the students’ learning experience. Rituals, however, need to be carefully considered to ensure that they are culturally and historically sensitive.

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 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)0.007
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.890
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0070.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.003
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 head0.087
GPT teacher head0.392
Teacher spread0.305 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2008
Admission routes2
Has abstractyes

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