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Record W3164030670 · doi:10.9734/ajess/2021/v17i430425

Implications of Philately in Highlighting Geometric Features for the Primary Cycle

2021· article· en· W3164030670 on OpenAlexaff
Mădălina Lupșe, Bogdan-Vasile Cioruța, Alexandru Leonard Pop

Bibliographic record

VenueAsian Journal of Education and Social Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMathematics Education and Teaching Techniques
Canadian institutionsScience North
Fundersnot available
KeywordsMathematics educationClass (philosophy)CurriculumContext (archaeology)RomanianFace (sociological concept)PoliticsGeometryPsychologyMathematicsComputer sciencePedagogySociologyHistoryArtificial intelligencePolitical scienceSocial scienceLinguisticsLaw

Abstract

fetched live from OpenAlex

The development of mathematical skills, especially those specific to geometry, 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 classical education, but also the online one, has become an activity, still unstructured, concerning movements, decisions, and political pressures, implicitly with the changes that occurred 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, being felt even in the teaching-learning-evaluation specific to geometry. The third challenge is given by the weight that teachers face in making geometry a discipline that appeals to students, attractive. In this sense, the challenge for us is to show that this triple barrier can be overcome. As such, the present study proposes a mixed method of presenting the geometric contents in the classroom 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 fragments to summarize the possibilities arising from the association of thematic philately with notions of geometry.

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)0.001
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: none
Teacher disagreement score0.706
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.066
GPT teacher head0.415
Teacher spread0.349 · 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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