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Record W3095955488 · doi:10.15173/ijsap.v4i2.4086

A student and staff partnership in the development of a student directed independent learning toolkit

2020· article· en· W3095955488 on OpenAlexvenueno aff
Michael Draper, Danielle Fisher

Bibliographic record

VenueInternational Journal for Students as Partners · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsInternshipGeneral partnershipStudent engagementReflection (computer programming)PsychologyAction researchPedagogyMathematics educationMedical educationComputer sciencePolitical scienceMedicine

Abstract

fetched live from OpenAlex

This case study offers reflection and evaluation on a student and staff partnership that utilises the principles of action research in the development of a practical toolkit to support directed independent learning by students. Since 2016, in an ongoing project under the auspices of the Hillary Rodham Clinton School of Law internship scheme, students have worked in partnership with members of staff to address the support for students’ development of independent learning skills to enable their full engagement with different university teaching styles. This project theme was chosen because it has the potential to have a significant impact on creating or supporting student confidence in students’ academic ability and associated mental wellbeing and sense of satisfaction and achievement. Students are best placed to provide solutions and inform the development of independent learning skills within a student-staff partnership project that facilitates active collaboration and the power to co-create.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.138
GPT teacher head0.552
Teacher spread0.413 · 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 designQualitative
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

Citations5
Published2020
Admission routes1
Has abstractyes

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