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Record W2996145077 · doi:10.32370/ia_2019_12_22

Determining the Structure of Project Competence of Future Bachelors of Social Work

2019· article· en· W2996145077 on OpenAlexvenueno aff
Олена Купенко

Bibliographic record

VenueIntellectual Archive · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsCompetence (human resources)TeamworkTransformative learningIntrospectionPsychologyKnowledge managementSocial psychologyComputer scienceManagementPedagogyCognitive psychology

Abstract

fetched live from OpenAlex

In the general structure of competence, the components of theoretical knowledge, transformative activity, moral and spiritual values and self-organization are considered, and two marginal levels are distinguished: a higher level of competence and a minimum acceptable level of competence.Taking into account the specific professional activity of future bachelors of social work, the structure of project competence is detailed as follows.In the theoretical knowledge component, the marginal levels differ in the limited knowledge at the minimum permissible level only by the management aspect, and the cross-sectoral understanding of the concepts of "project" and "project management" -at the highest level of competence.The transformative activities for the highest level of competence include methods for substantiating contradictions, to which the project is directed, determining the ideal end result, formulating a realistic project goal, decomposing the project, executing the project, introspection, as well as methods of managing teamwork.For minimal competence, only certain project management methods are foreseen, in particular, excluding teamwork management methods.In the component of moral and spiritual values, it is obligatory for both levels to act on the basis of the value attitude to the client of social work as a subject of self-government.As part of self-organization component, we consider projects developed by students as means of self-organization of their further transformative professional activity, but a higher level of competence (as opposed to minimum competence) involves taking into account the activities of other students and environmental events.

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)0.008
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.001
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.022
GPT teacher head0.224
Teacher spread0.203 · 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 designTheoretical or conceptual
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

Citations0
Published2019
Admission routes1
Has abstractyes

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