MétaCan
Menu
Back to cohort
Record W3033972243 · doi:10.36315/2019v2end015

HUMAN BEING DEVELOPMENT THROUGH HOLISTIC AND COMPLEX APPROACH

2019· article· en· W3033972243 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

VenueEducation and new developments · 2019
Typearticle
Languageen
FieldPsychology
TopicHuman Behavior and Motivation
Canadian institutionsUniversité LavalUniversité de SherbrookeUniversité du Québec à Montréal
Fundersnot available
KeywordsNatural (archaeology)Human development (humanity)Holistic educationQuality (philosophy)Development (topology)Engineering ethicsOrder (exchange)Computer scienceCurriculumSociologyEpistemologyEngineeringPedagogyPolitical scienceBusinessMathematics

Abstract

fetched live from OpenAlex

Several authors from different disciplines indicate that past and present school education systems are not adapted to a human being's natural development. Instead of accompanying the young human being through the phases of his natural development, the school imposes a training that is out of step in terms of requirements, which tends to restrict several aspects essential to his good development and later to his good functioning. Through the insights of several authors from various disciplines, this paper aims to propose theoretical and multidimensional approaches to justify the implementation of a holistic and complex curriculum in order to offer equitable, inclusive and quality education to young human beings. It concludes with practical implications and recommendations based on these proposals.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.163
GPT teacher head0.402
Teacher spread0.239 · 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