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Planting and Sowing Seeds of Hope: A Case Study on the Resonance of Tagline to Learners

2021· article· en· W3214262897 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

VenueInternational Journal of Multidisciplinary Applied Business and Education Research · 2021
Typearticle
Languageen
FieldPsychology
TopicLanguage Acquisition and Education
Canadian institutionsnot available
Fundersnot available
KeywordsNonprobability samplingHonorQuarter (Canadian coin)AsidePsychologyConfidentialityMedical educationMathematics educationSociologyMedicinePolitical scienceHistoryInternet privacyDemographyPopulationComputer scienceLawArt

Abstract

fetched live from OpenAlex

This research aimed to identify the resonance of the tagline on the students of Ignacio B. Villamor Senior High School. The researchers utilized the case study as the method of the study. The participants of the study are students-at-risk of dropping out, SSG students, and honor students in second quarter of S.Y. 2020-2021. There are 108 students who became the participants of the study. To gather data, the researchers used purposive sampling in the study. It is a non-probability sampling. The researcher identified common codes, categories, and themes. Aside from these, the researchers included statements of the participants of the study; but, their names are not identified to maintain confidentiality. The researchers proposed an organizational action plan based on themes emerged from the study.

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)0.000
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 score0.381
Threshold uncertainty score0.228

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.075
GPT teacher head0.449
Teacher spread0.374 · 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