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Record W2319503548

K-12 e-learning: A case analysis

2015· article· en· W2319503548 on OpenAlex
Nadeem Saqlain

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAntistasis · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsStaffingRural areaEconomic growthDistance educationPolitical scienceSociologyRural managementGeographyPedagogyRural developmentEconomics
DOInot available

Abstract

fetched live from OpenAlex

Newfoundland and Labrador has been characterised as a province of small rural and coastal communities. Most schools are located in rural areas of the province. Approximately 80 of these small rural schools are all-grade schools providing education from kindergarten to grade twelve. Due to staffing and budget issues, providing quality of education to rural students has always been a challenge for rural educators in Newfoundland and Labrador, as well as, elsewhere (Hannum, Irvin, Banks, & Farmer, 2009; Mulcahy, 2007; Patterson, Koenigs, Mohn, & Rasmussen, 2006). Many scholars have criticised the inequality of provision of the educational opportunities for rural high schools students (Riggs, 1987; Sparks & Williams, 2000). Reflecting this need, the Center for Distance Learning and Innovation was established to provide educational opportunities to rural high school students.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.860
Threshold uncertainty score0.941

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 science0.0000.000
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 head0.108
GPT teacher head0.416
Teacher spread0.307 · 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