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Record W7068271241

Attended

2010· other· en· W7068271241 on OpenAlexaboutno aff

Bibliographic record

VenueAUSpace (Athabasca University) · 2010
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSession (web analytics)Context (archaeology)Human resourcesSuccession planningResource (disambiguation)Space (punctuation)
DOInot available

Abstract

fetched live from OpenAlex

The annual CAUBO conference was an excellent opportunity to network with senior university administrators from across Canada and to gain valuable insights from an excellent program of concurrent sessions. It is a large conference, which had over 500 delegates and I attended some worthwhile sessions.
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\nThree sessions stand out in my mind as particularly interesting and of value to AU. These sessions were on leadership styles, brain development implications for physical space design, and human resource challenges related to anticipated needs in senior management.
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\nThe leadership session discussed the types of leadership that is appropriate for certain common situations and the impact of choosing the wrong leadership style for a particular situation. It provided a practical and theoretical model that I may use in future academic work.
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\nThe brain development session gave a new understanding of how attachment is formed by students to their place of study. It raised very good points to consider in the context of AU for both academic and administrative (such as alumni relations) reasons.
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\nFinally, the human resource session was a reminder of the importance of formal succession planning initiatives but also of the importance of ‘timing’. Although the session did not directly address the issue, formal succession planning programs will not achieve their desired goals if positions are not available for individuals to move into when they are ready. The ability to be creative and responsive to the needs of employees, sometimes even creating positions and using mentors, in a timely manner is critical to employee retention and to the in-house development of future leaders.
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\nThank you for the assistance that made attending this very worthwhile conference possible.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.021
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0300.036

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 head0.009
GPT teacher head0.203
Teacher spread0.194 · 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; both teacher heads agree on what is shown here.

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
Published2010
Admission routes1
Has abstractyes

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