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Record W4400993046 · doi:10.69554/lzqf2343

Putting public value at the heart of cultural excellence: Exploring a transformational journey of workplace strategy at the BBC

2013· article· en· W4400993046 on OpenAlexaff
Chris Kane

Bibliographic record

VenueCorporate real estate journal · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHuman Resource and Talent Management
Canadian institutionsWorkplace Health, Safety and Compensation Commission
Fundersnot available
KeywordsTransformational leadershipExcellenceValue (mathematics)SociologyPsychologyPublic relationsPolitical scienceComputer science

Abstract

fetched live from OpenAlex

The arrival of a new Director General and Chairman of the BBC Trust in 2004, together with the eighth BBC Charter, which came into operation from 1st January, 2007, heralded a new era for the BBC and prompted a fresh approach to the property portfolio. The Charter, which runs for ten years, contained a number of new commitments that aimed to redefine the Corporation's role as a public service provider. BBC Workplace is playing a pivotal role in supporting the BBC's efforts to deliver public value. This paper outlines the transformational journey taken by BBC Property/BBC Workplace to develop an intelligent real estate strategy that empowers the Corporation to deliver high-quality, original content, drive innovation, support challenging new technologies and engage a global audience. Today, the BBC's real estate portfolio comprises 207 properties and 571,000m2 of space across the UK. Over the last decade, the BBC Property/BBC Workplace teams have focused on an intense programme of portfolio optimisation to deliver the Corporation's vision of ‘public value’, while ensuring flexibility and innovation to attract and retain the best creative talent. This paper will explore lessons learned from four milestone projects in the BBC Property/BBC Workplace journey towards a new, more intelligent, real estate strategy.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.106
GPT teacher head0.250
Teacher spread0.144 · 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.

Study designNot applicable
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

Citations1
Published2013
Admission routes1
Has abstractyes

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