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Record W3111795863 · doi:10.62707/aishej.v12i3.491

COVID-19 ‘Targets’ the National Access Plan

2020· article· en· W3111795863 on OpenAlex
Linda Cardiff, Michele Kehoe

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAISHE-J · 2020
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsTrinity College
Fundersnot available
KeywordsPlan (archaeology)Coronavirus disease 2019 (COVID-19)Context (archaeology)PandemicEquity (law)NapPublic relationsDialog boxPolitical scienceMedical educationPsychologyMedicineComputer scienceGeographySocial psychologyWorld Wide Web

Abstract

fetched live from OpenAlex

Abstract. This reflective piece examines the articulation of the vision presented in the National Plan for Equity of Access to Higher Education (NAP) in the context of the educational challenges faced by the target groups arising from the Covid-19 emergency. In addition, the piece aims to identify those who are outside the current NAP and make recommendations to address issues identified. For many of those identified as part of the plan, their educational experience changed overnight and brought with it both challenges and opportunities. As the pandemic impacted the lives of all it became apparent that others who were outside the NAP should be given a chance for their voices to be heard. The next plan needs to reflect the immediate and longer-term impact of the changes that have been experienced in education and give voice to a wider target group.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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: Commentary · Consensus signal: none
Teacher disagreement score0.634
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.267
GPT teacher head0.529
Teacher spread0.262 · 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