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Record W3165726454 · doi:10.9734/jsrr/2021/v27i330370

Implications of Philately in the Development of Mathematical Skills for the Primary Cycle

2021· article· en· W3165726454 on OpenAlexaff
Mădălina Lupșe, Bogdan-Vasile Cioruța, Alexandru Leonard Pop

Bibliographic record

VenueJournal of Scientific Research and Reports · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMathematics Education and Teaching Techniques
Canadian institutionsScience North
Fundersnot available
KeywordsMathematics educationRomanianCurriculumContext (archaeology)Class (philosophy)PoliticsMathematicsPsychologyPedagogyHistoryComputer sciencePolitical scienceArtificial intelligenceLinguisticsLaw

Abstract

fetched live from OpenAlex

The development of mathematical skills for the primary cycle is a triple challenge in the current context of education in Romania. The first of the challenges is given by the fact that education has become an activity still unstructured with political movements and decisions, implicitly with the changes that have taken place in the ministerial apparatus. The second challenge is given by the methodological changes and of the school curriculum, which comes as a completion of the first challenge, and the third challenge is given by the weight of the teachers in making mathematics an attractive discipline. In this sense, the challenge for us is to show that this triple barrier can be overcome. As such, in the present study, a mixed-method of presenting the mathematical contents in the classroom is proposed, especially for the preparatory group, class I and II, through the prism of the instruments offered by the Romanian thematic philately. The results of the study are presented in the form of worksheets, of which we present only excerpts to summarize the possibilities arising from the association of philately with notions of mathematics training for the primary cycle.

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)0.020
metaresearch head score (Gemma)0.002
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 score0.556
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.140
GPT teacher head0.471
Teacher spread0.330 · 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 designTheoretical or conceptual
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
Published2021
Admission routes1
Has abstractyes

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