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Record W4402110679 · doi:10.55016/ojs/jet.v36i1.52726

The Complexity of Educational Interrelationships

2018· article· en· W4402110679 on OpenAlexaff
Ian Winchester

Bibliographic record

VenueJournal of educational thought. · 2018
Typearticle
Languageen
FieldComputer Science
TopicCognitive Science and Mapping
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsComputer scienceCognitive sciencePsychology

Abstract

fetched live from OpenAlex

This issue of the Journal of Educational Thought explores the complex relationships which exist among the teacher, the students, the parents, the school, and the community, not to mention the subject matter or "what is to be learned."To a lesser degree it explores reflexive relationships , namely, those between an educationally important category and itself.Thus the self-reflection of a teacher or of a student or of a parent with respect to educational concerns would be a form of reflexive relationship.In our day the relationship between the school a nd the w ider community has been the subject of public concern and legislation.Governments want to know how schools are doing, relative to one another.Consequently notions like "accounta bility" and "standardized testing" across large school jurisdictions have been linked in the public eye .Such concerns are by no means confined to North America .European and Asi a n school systems have been equally concerned.To take one European example , Sweden , which brought in a completely new school system in 1968 , has been following the progress of tha t new system for more than 30 yea rs employing standardized testing across an entire na tional popul a tion and with a view to educational a ccountability.Among other things, in the Swedish case, the responsibili ty for nationa l education w as taken from the church a uthorities, on the grounds of grea ter public accountability, and placed in the hands of th e State , a first ste p in the disestablishment of the Swedish Lutheran Church.However, whateve r the merits of a sys tem of school accountability, there are good a rguments bot h fo r a nd against th e view that sta ndardized testing of all students is the wa y to procee d.

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)0.010
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.023
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.021
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0080.047
Scholarly communication0.0230.032
Open science0.0020.013
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0080.001

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 head0.103
GPT teacher head0.359
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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