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Record W2544029397 · doi:10.5539/emr.v5n2p40

Technology Management: A Cross-Disciplinary Master-Program with a Focus on Leadership

2016· article· en· W2544029397 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.

venuePublished in a venue whose home country is Canada.
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

VenueEngineering Management Research · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Learning and Leadership
Canadian institutionsnot available
FundersLunds Universitet
KeywordsMindsetTeamworkCurriculumLeadership styleEducational leadershipPsychologyCross disciplinaryShared leadershipDisciplineClass (philosophy)Mathematics educationPedagogyMedical educationManagementSociologyPolitical sciencePublic relationsComputer scienceMedicineSocial science

Abstract

fetched live from OpenAlex

<p class="SectionTitle">Leadership is important. Management is important. There are good reasons to conceptually and pedagogically separate the two in order to see some fundamental differences. In a cross disciplinary master program named Technology Management at Lund University, Sweden, the students are given opportunities to study and learn management, and however, what makes the program unique is its profound focus on leadership. The Technology Management program includes six courses, Teamwork and Leadership being one of them. In this course, theories and knowledge in leadership is learnt and discussed, this is then intertwined into the other courses in which it is practiced, and finally the outcome is brought back to the Teamwork and Leadership course for further discussions. In addition to this the students are writing daily reflections in a so called Learning Journal, over a one-year period, making it possible for the students to reflect over and thereby shape their own leadership style and mindset. Course evaluations and placement reports indicates that the students learning about theories, practice and mindset related to leadership is ranked as the most valuable learning from their entire educational curricula/period.</p>

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.768
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.085
GPT teacher head0.306
Teacher spread0.222 · 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