MétaCan
Menu
Back to cohort
Record W3109819318 · doi:10.19080/asm.2020.05.555665

Student Self Selection of Course Instructional Delivery Impacts Grade Attainment

2020· article· en· W3109819318 on OpenAlexaff
Michael Seredycz

Bibliographic record

VenueAnnals of Social Sciences & Management studies · 2020
Typearticle
Languageen
FieldComputer Science
TopicOnline Learning and Analytics
Canadian institutionsMacEwan University
Fundersnot available
KeywordsAnnalsSelection (genetic algorithm)SociologyCover (algebra)Course (navigation)Philosophy of educationLibrary sciencePedagogyMathematics educationEngineering ethicsSocial scienceMedical educationPolitical sciencePsychologyHigher educationComputer scienceEngineeringMedicineClassicsHistory

Abstract

fetched live from OpenAlex

Annals of Social Sciences & Management studies are an international journal which focuses to spread a vast knowledge to the readers. ASM includes various topics which cover every part of Sociology and management studies like Philosophy & Public Affairs

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.740
Threshold uncertainty score0.397

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.088
GPT teacher head0.404
Teacher spread0.316 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of Social Sciences & Management studiesSame topicOnline Learning and AnalyticsFrench-language works237,207