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Record W3015984215 · doi:10.5539/res.v12n2p20

The University as an Educational Institution With Values in the Knowledge Society

2020· article· en· W3015984215 on OpenAlexvenueno aff
María José Gómez Aguilella

Bibliographic record

VenueReview of European Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsInstitutionRelation (database)Educational institutionSociologyFrame (networking)PsychologyHigher educationPublic relationsMedical educationPedagogyPolitical scienceSocial scienceMedicineComputer scienceLaw

Abstract

fetched live from OpenAlex

In this paper, we present a study which analyzes the relation between educational institution with the values of their students, all related with the knowledge society. The specific profile, young university students, help us to determine their prospects in the actual framework and beyond. The research is also focused on a specific country, Spain, although cross-cultural studies are being developed. The surveys were recruited through an online survey, the best way for our target to participate. We conduct a survey in which we elicited the importance of university like an educational institution regarding the knowledge society frame, as well as the values of their students depending on the election of the educational institution. This allows us to determine if the election of the educational institution is related with the values of their students, and if these values determine the election of the university. We try to establish by means of a quantitative study the profile of these students. For this reason, the study reveals knowledge of a new relations in specific variables, determined by the experience lived, which is an area of research that has received little attention to date. The variables to investigate are Knowledge society, educational institution and values (of their students) and its relation.

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: Review · Consensus signal: none
Teacher disagreement score0.747
Threshold uncertainty score0.853

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 studies0.0010.000
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 head0.113
GPT teacher head0.376
Teacher spread0.263 · 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
GenreReview

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

Citations1
Published2020
Admission routes1
Has abstractyes

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