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Record W3183631586 · doi:10.4995/head21.2021.13016

Social Systems in Higher Education: Collectivities and Technology

2021· article· en· W3183631586 on OpenAlexaff
Lucille Mazo

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCommunication and COVID-19 Impact
Canadian institutionsMacEwan University
Fundersnot available
KeywordsSociologyPerspective (graphical)Social systemEpistemologyCore (optical fiber)Process (computing)PandemicHigher educationCoronavirus disease 2019 (COVID-19)Social scienceKnowledge managementComputer sciencePolitical scienceArtificial intelligence

Abstract

fetched live from OpenAlex

This study investigates the core concepts and views that underlie the theories of social systems as explained by four theorists. It critically assesses and analyzes the role of the higher education system within society, as well as the role of the educator within this social system as defined and articulated by Durkheim (1956), outlined and explained from a hierarchical perspective by Parsons (1951), identified as an integrative process by Bertalanffy (1968), and viewed as a web of relationships by Capra (1996). Major themes from each theorist are analyzed with respect to what role social systems play in higher education and how educators are affected by internal social subsystems and collectivities. An example is presented on how collectivities exist online and use technology to continue at a university during the COVID-19 pandemic.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.005
Science and technology studies0.0050.029
Scholarly communication0.0100.008
Open science0.0010.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.079
GPT teacher head0.396
Teacher spread0.317 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2021
Admission routes1
Has abstractyes

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