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Record W4297580074 · doi:10.46692/9781447305125.007

Participation: planners and their ‘customers’

2013· other· en· W4297580074 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessMarketingOperations managementEngineering

Abstract

fetched live from OpenAlex

Participation and active citizens During the research on New Labour and planning reform, the topic of public participation cropped up in conversation. “Ah”, said the planner, “when I was doing my planning course we had a Canadian planner come to chat to us, as they were ahead of us in terms of public participation in those days. He told us how terrible it was, that the only thing they could get done was plant trees, because nobody objected to that, and that seems to me a danger of where we are headed in this country.” The planner then smiled wryly before adding, “well actually in the last couple of weeks I have had several letters from local residents complaining that decomposing leaves from trees along the streets are falling onto their cars and damaging the paintwork. So we can't even plant trees any more.” The image of almost a ‘tyranny of participation’ from the eyes of a planner is fascinating given how efforts at making British planning more participatory have formed a central part of the planning reform agenda promoted by central and devolved government in Britain under both Labour and the Coalition since 1997 (Kitchen and Whitney, 2004; Gallent and Robinson, 2012). As reviewed in Chapter One, this seemingly pro-participation agenda is in conflict with other government priorities (see also Baker et al, 2007). Given these tensions, there is a clear need to explore what planners at the coalface think about public participation. Just as the requirements of targets present a ‘top-down pressure’ on public sector professionals such as planners, so participation presents a ‘bottom-up’ check on their discretion (Taylor and Kelly, 2006). Participation is not the only such bottom-up check, however. As introduced in Chapter One, there has been a rise in the use of the language and ideal of ‘the customer’ across public services in recent years, particularly in the local government context in which planning sits. This idea of ‘the customer’ grew from John Major's 1991 ‘Citizen's Charter’ (Bolton, 2002) and continued under Labour administrations, the ideal of the customer being central to new public management (Clarke, 2004).

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.285
Teacher spread0.261 · 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
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
Published2013
Admission routes1
Has abstractyes

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