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Record W4214558421 · doi:10.54870/1551-3440.1043

TME Volume 3, Number 1

2006· article· en· W4214558421 on OpenAlexaff
Miriam Amit, Astrid Beckmann, John Berry, Mohan Chinnappan, Constantinos Christou, Bharath Sriraman, Joran Elias, Viktor Freiman, Yutaka Nishiyama, Steffen Møllegaard Iversen, Agnis Andžāns, Inese Berzina, Dace Bonka

Bibliographic record

VenueThe Mathematics Enthusiast · 2006
Typearticle
Languageen
FieldMathematics
TopicMathematics Education and Programs
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsVolume (thermodynamics)MathematicsPhysicsThermodynamics

Abstract

fetched live from OpenAlex

heralds the third year of The Montana Mathematics Enthusiast.The journal has undergone healthy mutations since its rebirth in April 2004.We now have in place since October 2005 an illustrious international editorial board and contributing editors with a very wide range of experience and expertise.The aims, scope and editorial information link on the journal website provides this information for the interested reader.The peer review process for papers submitted to the journal has also been smooth and timely, which has helped in attracting more submissions with quality control checks in place to maintain the scholarly status of the journal.TMME has also begun the process of acquiring indexing in well known research databases worldwide.The website statistics for Vol2no2 (August 2005) and TMME in general have been nothing short of staggering in terms of the places from which the journal was accessed.We have thus far been accessed from 91 different countries (!) and counting.A new statistical feature on the journal website allows readers to get a rolling glimpse of countries from which the journal is accessed based on the last 100 page loads.Sample statistics on journal access during the last five months is included at the end of this issue for the interested reader.The current issue: Volume 3, no1 is both wide in scope and dense with ideas, consisting of seven articles focused on topics within mathematics; mathematics and philosophy; mathematics education history; talent development and challenges for mathematically promising students.One underlying theme of many of the articles is ways in which mathematics can stimulate us, capture our imagination, and even excite us with its possibilities for teaching and learning from the elementary school level onto the professional levels.The geographic range of the authors attests to the benefits of open access for the wide dissemination of ideas without institutional and subscription restrictions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.599
Threshold uncertainty score0.855

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0090.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.4010.254

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 head0.040
GPT teacher head0.315
Teacher spread0.275 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2006
Admission routes1
Has abstractyes

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