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Record W126186677

Educational research in practice : making sense of methodology

2003· book· en· W126186677 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch Portal (King's College London) · 2003
Typebook
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsAotearoaSociologyContext (archaeology)Social researchPoliticsMedia studiesSocial scienceHistoryPolitical scienceLawGender studies
DOInot available

Abstract

fetched live from OpenAlex

Part I: An Introduction to Educational Research in Practice 1. Why You Should Read This Book Joanna Swann, King's College London and John Pratt, University of East London 2. Making Sense of Methodology Joanna Swann and John Pratt Part II: Different Approaches to Educational Research 3. A Popperian Approach to Research on Learning Joanna Swann 4. The Post-modern Prism: Fracturing Certainty in Educational Research Elizabeth Atkinson, University of Sunderland 5. A Popperian Approach to Policy Research John Pratt 6. Critical Approaches to Research in Practice Michael Collins, University of Saskatchewan, Canada 7. Science in Educational Research William E. Tunmer, Jane E. Prochnow and James W. Chapman, Massey University, New Zealand 8. Research in a Bicultural Context the Case of Aotearoa/New Zealand Patricia Maringi G. Johnston, Te Whare Wananga o Awanuiarangi, New Zealand 9. Case-Study Research Michael Bassey, Nottingham Trent University Part III: Dialogues from a Research Community 10. Decision-making in the Real World: Post-modernism versus Fallibilist Realism Elizabeth Atkinson and Joanna Swann 11. Research and Social Improvement: Critical Theory and the Politics of Change Michael Collins and Joanna Swann 12. Culture, Race, and Discourse Patricia Maringi G. Johnston and John Pratt 13. How General are Generalizations? Michael Bassey and John Pratt Part IV: Doing Good Research 14. Principles for Good Practice John Pratt and Joanna Swann Glossary: Some Important Research Terms and their Usage John Pratt and Joanna Swann Index

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)0.056
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.676
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0560.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.403
GPT teacher head0.576
Teacher spread0.173 · 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