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Record W1860693644

Exploring the Potential Benefits of Holistic Education: A Formative Analysis

2015· article· en· W1860693644 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.

Bibliographic record

VenueOther Education · 2015
Typearticle
Languageen
FieldComputer Science
TopicEducational Challenges and Innovations
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsGraduation (instrument)Formative assessmentHolistic educationMeaning (existential)Holistic healthPedagogyHigher educationMedical educationNatural (archaeology)Identity (music)PsychologySociologyEngineering ethicsPublic relationsPolitical scienceEngineeringMedicineMEDLINEAesthetics
DOInot available

Abstract

fetched live from OpenAlex

This study examines both if and why university students believe that increased exposure to holistic principles would have been beneficial to their success after finishing secondary education. The overwhelming majority—on average about 70%— of participants agreed that had they had more exposure to holistic principles (personal identity, meaning/purpose, connections to the community, connections to the natural world, and humanitarian values) while in the K-12 system, they would have been more successful in university. Students supporting such exposure reported that a holistic education would have helped them to better choose their course of study in university, to more fully understand their career opportunities after graduation, and to be more informed about the community, natural world, and citizens with whom they interacted. Students who did not support an increased exposure to holistic principles felt that this kind of education was not an academic pursuit, was best studied in their free time, or already felt as if they had sufficient exposure to these principles.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.821
Threshold uncertainty score0.230

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.204
GPT teacher head0.346
Teacher spread0.142 · 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